- People (63)
- Programmes (2)
- Projects (6)
- Institutions (13)
- Investigations (3)
- Studies (5)
- Assays (16)
- Strains (4)
- Data files (131)
- Models (1)
- SOPs (9)
- Publications (14)
- Presentations (13)
- Organisms (3)
- Events (4)
- Documents (6)
- Samples (2)

Projects: SUMO
Institutions: University of Sheffield
I am a post-doctoral research associate working in Sheffield in the SUMO consortium. My research focuses on transcriptional regulation in E. coli, with particular emaphasis on the transcriptomic analysis of steady-state chemostat cultures using both microarray and qRT-PCR approaches.
Previous experience, especially that gained during my PhD, involved work on Salmonella physiology and lag phase growth, focusing particularly on gene-expression and transcriptional regulation. Other techniques used ...
Projects: GenoSysFat, DigiSal, SEEK tutorial for DigiSal, PhD Nicotinic Acetylcholine Receptors
Institutions: Norwegian University of Life Sciences

Expertise: Molecular Biology, Cell biology, transcriptional regulation, Genetics, Microbiology
Tools: R, Cell and tissue culture, PCR, Latex, Genetic analysis
Ph.D. student at the Norwegian University of Life Sciences interested in protein stoichiometry and genetics. Currently, I am studying nicotinic acetylcholine receptors in salmon lice, in an effort to understand how they function, their stoichimetric structure and their importance to the salmon louse. This is part of a larger fundamental research project which covers several invertebrates including bees, mosquitos and ticks, as ...
Systems biology for salmon farming is what I do. I lead the DigiSal project (http://tinyurl.com/digisal), whose full title is "Towards the Digital Salmon: From a reactive to a pre-emptive research strategy in aquaculture". DigiSal is part of Digital Life, the first call dedicated to systems biology by the Research Council of Norway. I'm also one of the lead modellers in GenoSysFat (http://tinyurl.com/genosysfat), working to improve the omega-3 content of salmon farmed on sustainable feeds by ...

Projects: EbN1 Systems Biology, Adaptation of Salmonella enterica, Cross-Feeding B.theta, Pseudomonas aeruginosa and its vesicles
Institutions: Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Metabolomics and Services, Metabolomics and Services, Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures

Projects: DigiSal, GenoSysFat, SEEK tutorial for DigiSal, FAIRDOM Community Workers
Institutions: Norwegian University of Life Sciences

I am the data and model manager for the Digital Salmon
Projects: DigiSal, GenoSysFat, SEEK tutorial for DigiSal
Institutions: Norwegian University of Life Sciences

Expertise: Computational Systems Biology, Bioinformatics, Data analysis
Researcher at the DigiSal project. Recently graduated M.Sc. in Chemistry and Biotechnology.
Projects: DigiSal, GenoSysFat, SEEK tutorial for DigiSal
Institutions: Norwegian University of Life Sciences


Projects: DigiSal-BT8121
Institutions: Norwegian University of Science and Technology
Projects: DigiSal-BT8121
Institutions: Inland Norway University of Applied Sciences

Projects: DigiSal-BT8121
Institutions: Norwegian University of Science and Technology

I am part of 180 ̊ N Project: Clinical PET/MRI in collaboration with St Olav’s Hospital. In Work Package-5, we aim to develop and validate new machine learning methods that exploit the quantitative nature of the PET and MR images. We will develop a pipeline for pre-processing and quality assurance of the acquired images, as well as a toolbox with machine learning algorithms focusing on region classification and detection of change over time. These methods will be applied to answer open clinical ...
Projects: DigiSal-BT8121
Institutions: NORCE Norwegian Research Centre AS

My PhD project is part of the NFR project SLAM-DUNK (RCN Project number: 326861). The main aim of SLAM-DUNK is to design, optimize, and integrate a combination of novel technologies (anaerobic digestion, microwave assisted pyrolysis, and microalgae cultivation) for the conversion of fish sludge to valuable products. The PhD project is focusing on the optimization of microalgae cultivation on residual streams from aquaculture directly and from digester liquid from an anaerobic digestion (AD) ...
Projects: DigiSal-BT8121
Institutions: Norwegian University of Science and Technology

Projects: DigiSal, GenoSysFat, SEEK tutorial for DigiSal
Institutions: Norwegian University of Life Sciences

Projects: DigiSal
Institutions: Norwegian University of Life Sciences
Projects: DigiSal
Institutions: Norwegian University of Life Sciences

Salmon farming in the future must navigate conflicting and shifting demands of sustainability, shifting feed prices, disease, and product quality. The industry needs to develop a flexible, integrated basis of knowledge for rapid response to new challenges. The Digital Salmon will be an ensemble of mathematical descriptions of salmon physiology, combining mathematics, high-dimensional data analysis, computer science and measurement technology with genomics and experimental biology into a concerted ...
Projects: GenoSysFat, DigiSal, SEEK tutorial for DigiSal, DigiSal-BT8121
Web page: http://tinyurl.com/digisal
Projects that do not fall under current programmes.
Projects: Manchester Institute for Biotechnology, ICYSB 2015 - International Practical Course in Systems Biology, iRhythmics, INBioPharm, EmPowerPutida, Systo models, MycoSynVac - Engineering Mycoplasma pneumoniae as a broad-spectrum animal vaccine, Multiscale modelling of state transitions in the host-microbiome-brain network, Extremophiles metabolsim, NAD COMPARTMENTATION, Agro-ecological modelling, Bergen(Ziegler lab) project AF-NADase, NAMPT affinity, Stress granules, Modelling COVID-19 epidemics, Bio-crop, ORHIZON, Coastal Data, SASKit: Senescence-Associated Systems diagnostics Kit for cancer and stroke, hybrid sequencing, HOST-PAR, BioCreative VII, Boolean modeling of Parkinson disease map, Orphan cytochrome P450 20a1 CRISPR/Cas9 mutants and neurobehavioral phenotypes in zebrafish, Selective Destruction in Ageing, Viral Metagenomic, Synthetic biology in Synechococcus for bioeconomy applications (SynEco), testproject, SDBV ephemeral data exchanges, Test project, The BeeProject, PHENET, LiceVault, EbN1 Systems Biology, UMRPégase, DeCipher, Heat stress response of the red-tide dinoflagellate Prorocentrum cordatum, middle ear, datamgmt, Institut Pasteur's projects, The nucleus of Prorocentrum cordatum, qpcr, MRC-UNICORN, Test project for Sciender, qPCR, Artificial organelles_Pathogen digestion, Supplementary Information 2 associated with the manuscript entitled " Label free Mass spectrometry proteomics reveals different pathways modulated in THP-1 cells infected with therapeutic failure and drug resistance Leishmania infantum clinical isolates", FAIR Functional Enrichment, PTPN11 mutagenesis, Supplementary Information 2 associated with the manuscript entitled "Label free Mass spectrometry proteomics reveals different pathways modulated in THP-1 cells infected with therapeutic failure and drug resistance Leishmania infantum clinical isolates", iPlacenta- Placenta on a chip, Near Surface Wave-Coherent Measurements of Temperature and Humidity, A Meta-Analysis of Functional Recovery of Aphasia after Stroke by Acupuncture Combined with Language Rehabilitation Training, Phytoplankton phenology in the Bay of Biscay: using remote sensing to assess and raise awareness of climate change impacts on the sea, Master-BIDS, Vitis Data Crop, MESI-STRAT Review, Establishing an innovative and transnational feed production approach for reduced climate impact of the aquaculture sector and future food supply, ARAX: a web-based computational reasoning system for translational biomedicine, Adaptation of Salmonella enterica, I AM FRONTIER, ., PhD Nicotinic Acetylcholine Receptors, SFB1361 playground, Amaizing, Conspicuous chloroplast with LHC‒PSI/II‒megacomplex and diverse PBPs in the marine dinoflagellate Prorocentrum cordatum, icpm-kth, SDBV/HITS, sample project, TestingSeek, Genomic Medicine, Remodeling of cIV, Virtual Human Platform for Safety Assessment, PROMISEANG, URGI, Matsutake, UNDESIRABLE EFFECTS OF POST COVID-19 VACCINATION: A DESCRIPTIVE STUDY, WINTER 2022, Semantic Table Interpretation in Chemistry, MS identification of L infantum proteins related to their drug resistance patterns for new drug targets identification and ecotoxicological evaluations of their environmental and interspecies impact, the Supplementary materials for paper, ToxiGen - Reproductive toxicity and transgenerational effects of petroleum mixtures in fish, PhotoBoost, Measurement of Fisheries Provisioning Services and its Pressure to Support Sustainability of Fisheries in The Jatigede Reservoir, Indonesia, FIsh data on 2022 in the Jatigede Reservoir, ImmPort - data sharing, MESI-Review 2024, REWIRED: comparative RNA-seq and ATAC-seq in six salmonids and six outgroup telest fishes, REWIRED, Data Repository, APPN Test Project, Enhanced Anticancer Effect of Thymidylate Synthase Dimer Disrupters Promoting Intracellular Accumulation, BIDS, BioRECIPE representation format, UMass Chan BioImage DMS Core_FAIR Metadata Templates, FUNCEMM, Pectobacterium pangenome, New Optical Coherence Tomography Biomarkers Identified with Deep Learning for Risk Stratification of Patients with Age-related Macular Degeneration, Virulence-related genes expression in planktonic mixed cultures of Candida albicans and non-albicans Candida species, Screening of Secondary Plant Metabolites on Antihelmintic Activity in Ascaris scum, Munich Cluster for Systems Neurology, Test project May 2024, Biospecimen Collection Protocol, Winter Wheat (Triticum aestivum L.) Grain Yield, Quality, and Net Photosynthesis When Grown Under Semi-Transparent Cadmium Telluride Photovoltaic Modules Near Maturity, Benefit for All FAIR Data, Implementation of Nanopore Sequencing for Detection of Treatment Induced Transcriptomic and Epitranscriptomic Changes in Leukaemic Tumour Models, DPL, Glycogen Metabolism in bacteria, ILS Ceramide Ring Trial, Project Test, DeepCurate, Revisiting mutational resistance to ampicillin and cefotaxime in Haemophilus influenzae, Biochemical characterization of the feedforward loop between CDK1 and FOXM1 in epidermal stem cells, Drug Discovery and Biotechnology Standard Operating Procedures, EDITH (Ecosystem Digital Twins in Health) test project, Fluid flow project, Smart Garden Watering System, The role of different fatty acids, AQUACIRCLE, IDIM, Sampling vicinity of industrial settings for pathogens and GMO identification, RNA-seq data for paper, RNA-seq data, Academic Scientific Research Group, SYLOBIO, 3T3 murine fibroblast as feeder-layer, Comparative Analysis of decell efficiency and structural integrity of vessels for tissue engineering aplications, Raman Data, Alters-Krebs-Korrelation anhand der Patienteneingänge 2024, Cassava Gates Curation, GWI-HDMT stemcells, HubMOL, test, Lipopeptide research @ VIB, PRIN 2022 - High-resolution study of translational dynamics in human epithelial stem cells, Automated Hepatic Vessel Segmentation in Whole-Slide Images Using U-Net Variants with Attention and SE Blocks, Diverse Metabolic Control of Phosphoglucomutases by Bisphosphorylated Sugars in Heterotrophic Bacteria, GENBioDORA, Preclinical Imaging and Testing Core at MIT Koch Institute, Ultrasound Guided Injection Protocol Development, BullNet, TERRACOTA, B.Ed Colleges in Bangalore, LIRA, reNEW, Cross-Feeding B.theta, Surgery Analyzer, Pseudomonas aeruginosa and its vesicles, FAIRe Tests BMDS, LabscriptAI, Principais cânceres que afetam mulheres no Brasil, DKDM: Diabetic Kidney Disease Map, NGID, Transforming Marine Waste into Sustainable Value_WASTE2TASTE
Web page: Not specified
Programme: Independent Projects
Public web page: Not specified
Salmon farmed on modern feeds contains less of the healthy, long-chain fatty acids (EPA and DHA) than before. Up until the turn of the millennium, farmed salmon were fed fish oil as a replacement for their omega-3 rich natural prey. However, fish oil is now a scarce resource, and more than half of the fat in modern feeds comes from plant oils that are inexpensive, but devoid of long-chain omega-3 fatty acids. How can we increase the omega-3 content of salmon on sustainable feeds?
One option is ...
Programme: The Digital Salmon
Public web page: http://tinyurl.com/genosysfat
Organisms: Danio rerio, Salmo salar, Oncorhynchus mykiss
Towards the Digital Salmon: From a reactive to a pre-emptive research strategy in aquaculture (DigiSal)
Salmon farming in the future must navigate conflicting and shifting demands of sustainability, shifting feed prices, disease, and product quality. The industry needs to develop a flexible, integrated basis of knowledge for rapid response to new challenges. Project DigiSal will lay the foundations for a Digital Salmon: an ensemble of mathematical descriptions of salmon physiology, combining ...
Programme: The Digital Salmon
Public web page: http://tinyurl.com/digisal
Organisms: Danio rerio, Salmo salar, Oncorhynchus mykiss
A project for the Digital Salmon use case in BT8121 - Transdisciplinary biotechnology - a Digital Life Norway course.
Programme: The Digital Salmon
Public web page: https://www.ntnu.edu/studies/courses/BT8121
Organisms: Not specified
Programme: Independent Projects
Public web page: Not specified
Organisms: Not specified
This is a sandbox where DigiSal members can learn to use the SEEK.
Tutorial document: http://tinyurl.com/seek-ds17
The SEEK is a web interface to a database of research "assets" organised in a hierarchical "ISA structure" (investigation-study-assay) [1]. These are further organised into projects and programmes.
- Programme = Overarching research theme (The Digital Salmon)
- Project = Research grant (DigiSal, GenoSysFat)
- Investigation = a particular biological process, phenomenon or thing ...
Programme: The Digital Salmon
Public web page: http://www.nmbu.no/prosjekter/digisal
Organisms: Salmo salar
ROR ID: Not specified
Department: Not specified
Country: Germany
City: Not specified
Web page: Not specified
ROR ID: Not specified
Department: Not specified
Country: Germany
City: Braunschweig
Web page: https://www.dsmz.de
ROR ID: Not specified
Department: Not specified
Country: Norway
City: Not specified
Web page: Not specified
ROR ID: Not specified
Department: Not specified
Country: United States
City: Not specified
Web page: http://www.cargill.com
ROR ID: Not specified
Department: Not specified
Country: France
City: Not specified
Web page: Not specified
ROR ID: Not specified
Department: Not specified
Country: Norway
City: Not specified
Web page: Not specified
ROR ID: Not specified
Department: Not specified
Country: Netherlands
City: Wageningen
Web page: http://www.wur.nl/
ROR ID: Not specified
Department: Not specified
Country: United Kingdom
City: Manchester
Web page: http://www.cs.manchester.ac.uk/
ROR ID: Not specified
Department: Not specified
Country: Norway
City: N-1432 Ås
Web page: http://www.nmbu.no/en
ROR ID: Not specified
Department: Not specified
Country: Germany
City: Rostock
Web page: http://www.uni-rostock.de
ROR ID: Not specified
Department: Not specified
Country: Norway
City: Trondheim
Web page: http://www.ntnu.edu/
Submitter: Meina Neumann-Schaal
Studies: Metabolic analysis of Salmonella enterica to study carbon metabolism ada...
Snapshots: Snapshot 1
Atlantic salmon is a main source of essential ω-3 long-chain polyunsaturated fatty acids (LC-PUFA) in many Western diets, especially eicosapentaenoic acid (20:5n-3, EPA) and docosahexaenoic acid (22:6n-3, DHA). However, farmed salmon meat now contains less healthy ω-3 fatty acids (FA) than before, due to the shift from marine to vegetable lipid feed sources. An important future aquaculture challenge is therefore to maintain a healthy and high EPA/DHA content when farmed salmon is fed a vegetable ...
Submitter: Jon Olav Vik
Studies: GSF1: Salmon feed-switch experiment vegetable and fish oil 2015-2016
Assays: Fatty acid contents in feed using Gas chromatography/FAME analysis, Fatty acid contents in tissues using Gas chromatography/FAME analysis, Feed switch 2015-09 Solbergstranda, pilot proteomics, Feed switch 2015-09, 2016-01 Solbergstranda, gross phenotypes, Feed switch 2015-09, 2016-01 Solbergstranda, gut microbiota composition,..., Lipidomics, Metabolomics, Overview of RNAseq datasets in GenoSysFat, RNA sequencing Feed switch- Liver and Gut
Snapshots: No snapshots
The aim of this investigation is to understand molecular mechanisms of PUFA biosynthesis and regulation in order to enable the sustainable use of vegetable oils in aquafeeds as current sources of fish oils are unable to meet increasing demands for omega-3 PUFAs. By generating gene knockouts, we would like to study the genes that are crucial for multi-tissue synthesis of PUFA synthesis in vivo.
Submitter: Sahar Hassani
Studies: ELOVL2 Knockout, FADS Knockout
Assays: Differential expression analysis of genes between FADS-KO and WT, Fatty Acid Analysis, RNAseq, RNAseq-splicing, RNAseq_CountTable, Sanger sequencing
Snapshots: Snapshot 1, Snapshot 2
Submitter: Meina Neumann-Schaal
Investigation: Salmonella enterica relies on carbon metabolism...
Snapshots: No snapshots
By generating CRISPR-mediated elovl2 knockout, we are planning to study the crucial role of elovl2 for multi-tissue synthesis of 22:6n-3 in vivo. Endogenously synthesized PUFAs are important for transcriptional regulation of lipogenic genes in Atlantic salmon. This study demonstrates key roles of elovl2 at two penultimate steps of PUFA synthesis in vivo and suggests Srebp-1 as a main regulator of endogenous PUFA synthesis in Atlantic salmon.
Submitter: Sahar Hassani
Investigation: Knockout omega-3 genes to perturb LC-PUFA metab...
Assays: Fatty Acid Analysis, RNAseq, RNAseq-splicing, Sanger sequencing
Snapshots: Snapshot 1
This experiment is designed to pinpoint where in the metabolic network there are differences between salmon of different genetic families and on different diets. Analyses of this material will help inform feeding and breeding strategies.
Salmon will be reared on feeds with contrasting levels of very-long-chain polyunsaturated fatty acids. Then some fish will be crossed over to the other diet while others remain as controls. This perturbation of diet should provoke changes in omega-3 metabolism ...
Submitter: Jon Olav Vik
Investigation: Omega-3 metabolism of salmon in relation to die...
Assays: Fatty acid contents in feed using Gas chromatography/FAME analysis, Fatty acid contents in tissues using Gas chromatography/FAME analysis, Feed switch 2015-09 Solbergstranda, pilot proteomics, Feed switch 2015-09, 2016-01 Solbergstranda, gross phenotypes, Feed switch 2015-09, 2016-01 Solbergstranda, gut microbiota composition,..., Lipidomics, Metabolomics, Overview of RNAseq datasets in GenoSysFat, RNA sequencing Feed switch- Liver and Gut
Snapshots: Snapshot 1
Aim: To investigate whether Atlantic cod that feed close to aquatic breeding facilities are affected by chlorpyrifos-methyl. Feeding experiment with chlorpyrifos-methyl, an organophosphorous pesticide detected in plant based salmon feed. Based on previous experiments using salmon.
Doses: 0, 0.5, 5.0, 25 mg/kg) chlorpyrifos-methyl. Duration: 30 days Set-up: Three tanks per treatment (12 in total)
Samples include: Liver, plasma, bile, brain. Analysis include:
- Have RNAseq and metabolomics from 36 ...
Submitter: Marta Eide
Investigation: 1 hidden item
Assays: Chemical analyses, EROD activity, Fish biometrics in vivo Nord, Metabolomics, Plasma parameters, Transcriptomics
Snapshots: Snapshot 1, Snapshot 2
Submitter: Sahar Hassani
Investigation: Knockout omega-3 genes to perturb LC-PUFA metab...
Assays: Differential expression analysis of genes between FADS-KO and WT, RNAseq_CountTable
Snapshots: Snapshot 1
Submitter: Meina Neumann-Schaal
Assay type: Experimental Assay Type
Technology type: Gas Chromatography Mass Spectrometry
Investigation: Salmonella enterica relies on carbon metabolism...
Organisms: No organisms
SOPs: No SOPs
Data files: Salmonella enterica_metabolite data
Snapshots: Snapshot 1
Differential expression analysis (using R package edgeR) on liver gene expression between salmon with all four fads2 genes knockout, only fads2d6b & fads2d6c knockout and wildtype. All salmon was given either a low-PUFA diet or a high-PUFA diet
Submitter: Yang Jin
Biological problem addressed: Model Analysis Type
Investigation: Knockout omega-3 genes to perturb LC-PUFA metab...
Study: FADS Knockout
Organisms: No organisms
Models: No Models
SOPs: No SOPs
Data files: Differential expression analysis R code for FAD...
Snapshots: No snapshots
Stranded RNAseq libraries were prepared from 1µg total RNA from liver tissue using TruSeq Stranded mRNA library preparation kit (Illumina, San Diego, USA) using double unique indices (#20022371), according to the manufacturer's instruction (Part 15031057 Rev.E). Libraries were sequenced at the Norwegian Sequencing Centre (NSC). All libraries were pooled, and the same pool was sequenced on 4 flow cell lanes on a HiSeq 3000 machine (Illumina), generating 100bp single-end reads. RNA sequencing files ...
Submitter: Sahar Hassani
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Knockout omega-3 genes to perturb LC-PUFA metab...
Study: ELOVL2 Knockout
Organisms: No organisms
SOPs: No SOPs
Data files: Combined.counts, Crispr_metadata
Snapshots: No snapshots
Total lipids are extracted from tissues of white muscle, liver and whole brain from three fish per dietary treatment.
Submitter: Sahar Hassani
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Knockout omega-3 genes to perturb LC-PUFA metab...
Study: ELOVL2 Knockout
Organisms: No organisms
SOPs: No SOPs
Data files: Initial FAD KO_Liver phospholipid fatty acid pr..., Initial FAD KO_White muscle phospholipid fatty ...
Snapshots: No snapshots
The three different CRISPR target sites within the elovl2 gene (T1-3) were characterised by Sanger sequencing, sequencing on average 8 clones per individual.
Submitter: Sahar Hassani
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Knockout omega-3 genes to perturb LC-PUFA metab...
Study: ELOVL2 Knockout
Organisms: No organisms
SOPs: No SOPs
Data files: FT1KO1.fq, FT1KO2.fq, FT1KO3.fq, FT2KO1.fq, FT2KO2.fq, FT2KO5.fq, FT3KO1.fq, FT3KO2.fq, FT3KO5.fq, FT4KO1.fq, FT4KO2.fq, FT4KO3.fq, T1KO2.fq, T1KO3.fq, T1KO4.fq, T2KO1.fq, T2KO2.fq, T2KO4.fq, T3KO1.fq, T3KO2.fq, T3KO3.fq, T4KO1.fq, T4KO2.fq, T4KO3.fq, T4KO4.fq, T4KO5.fq
Snapshots: No snapshots
RNAseq is utilised to validate the SnpEff annotation predictions for aberrant splicing. For this purpose the percentage exon retention for exons 4, 6 and 7 are calculated using RNAseq data.
Submitter: Sahar Hassani
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Knockout omega-3 genes to perturb LC-PUFA metab...
Study: ELOVL2 Knockout
Lipidomic analysis by UPC2-MS of tissue samples from the GSF1 feed-switch experiment. Samples were analyzed at NTNU by Zdenka Bartosova and Per Bruheim.
There are three separate data files of lipid analysis in muscle, liver and gut tissue samples. Excel sheets contains both raw and normalised data of compounds abundance. Normalization to all compounds was used as a normalization method.
Columns: Compound 0.93_858.7669n Anova (p) 0,044998264 q Value 0,009417222 Max Fold Change 1,644961431 Maximum ...
Submitter: Zdenka Bartosova
Assay type: Experimental Assay Type
Technology type: Supercritical fluid chromatography - Mass spectrometry
Investigation: Omega-3 metabolism of salmon in relation to die...
Organisms: Salmo salar
SOPs: No SOPs
Data files: Lipid Class Quantitation- POS Gut SW+FW, Lipid Class Quantitation- POS Liver SW+FW, Lipid Class Quantitation- POS Muscle SW+FW, Lipid identification- POS Gut, Lipid identification- POS Liver, Lipid identification- POS Muscle, POS Gut tissue FW+SW, POS Liver tissue FW+SW, POS Muscle tissue FW+SW
Snapshots: No snapshots
Submitter: Yang Jin
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Knockout omega-3 genes to perturb LC-PUFA metab...
Study: FADS Knockout
Organisms: No organisms
SOPs: No SOPs
Data files: Lipid metabolism gene list, Meta Data, Raw Count table
Snapshots: No snapshots
16S rRNA amplicon sequencing (Illumina MiSeq, V3-V4 region) to assess community structure.
Submitter: Jon Olav Vik
Assay type: Experimental Assay Type
Technology type: Next generation sequencing
Investigation: Omega-3 metabolism of salmon in relation to die...
Organisms: Salmo salar
SOPs: 16S metagenomic sequencing library preparations, DNA extraction from intestinal samples
Data files: Combined taxonomy table from freshwater and sal..., Feed switch 2015-09 Solbergstranda FASTA for gu..., Feed switch 2015-09 Solbergstranda gut microbio..., Feed switch 2016-01 Solbergstranda FASTA for gu..., Feed switch 2016-01 Solbergstranda gut microbio...
Snapshots: No snapshots
Targeted proteomics for peptides related to fatty acid metabolism. Aim: Check which of these proteins we are able to detect in this experiment.
Submitter: Jon Olav Vik
Assay type: Proteomics
Technology type: Technology Type
Investigation: Omega-3 metabolism of salmon in relation to die...
Organisms: Salmo salar
SOPs: No SOPs
Data files: Feed switch 2015-09 Solbergstranda proteomics o..., Feed switch 2015-09 Solbergstranda target prote...
Snapshots: No snapshots
From the "data accessibility" section of Life-stage associated remodeling of lipid metabolism regulation in Atlantic salmon. (Publication):
Supplementary files have been deposited to datadryad.org under the accession: https://doi.org/10.5061/dryad.j4h65. Raw RNA-Seq data have been deposited into European Nucleotide Archive (ENA) under the project Accession no. PRJEB24480.
Dead links 2022-06-29 (the Shiny ...
Submitter: Graceline Tina Kirubakaran
Assay type: RNA-seq
Technology type: Next generation sequencing
Investigation: Omega-3 metabolism of salmon in relation to die...
Organisms: Salmo salar
SOPs: Liver Slice protocol, RNASeq Template
Data files: Gene_information, Gut- CPM, Gut- Counts, Gut- FPKM, Lipid_Gene_List, Liver- CPM, Liver- Counts, Liver- FPKM, Metadata, Sample metadata
Snapshots: No snapshots
Record of weight, length and sex of fish sampled after feed switch between vegetable and marine oil, in September 2015 (freshwater) and January 2016 (seawater). Young fry arrived at Solbergstranda 2015-02-05 17:20.
Submitter: Thomas Harvey
Assay type: Experimental Assay Type
Technology type: Next generation sequencing
Investigation: Omega-3 metabolism of salmon in relation to die...
Organisms: Salmo salar
SOPs: Schedule for transition to seawater in GSF1, Ge...
Data files: Description of feeds for crossover feeding tria..., Feed switch 2015-09, 2016-01 Solbergstranda gro..., Metabolomics sampleID Old to New
Snapshots: No snapshots
Fatty acids are extracted from samples and converted to fatty acid methyl esters (FAMEs) followed by separation by gas chromatography. This yields fatty acid profiles for each sample as percent of total FAME or milligram FAME per gram of biomass.
Source:
Hei Magny,
Takk!
Et par ting:
- vi trenger å få orden på data... Lurer derfor på om du kan du lage ett dokument som inneholder alle resultat fra GCen? Uten ...
Submitter: Graceline Tina Kirubakaran
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Omega-3 metabolism of salmon in relation to die...
Organisms: No organisms
SOPs: No SOPs
Data files: Fatty acid content in feeds used in GenoSysFat ...
Snapshots: No snapshots
Fatty acids are extracted from samples and converted to fatty acid methyl esters (FAMEs) followed by separation by gas chromatography. This yields fatty acid profiles for each sample as percent of total FAME or milligram FAME per gram of biomass.
Source:
Hei Magny,
Takk!
Et par ting:
- vi trenger å få orden på data... Lurer derfor på om du kan du lage ett dokument som inneholder alle resultat fra GCen? Uten ...
Submitter: Graceline Tina Kirubakaran
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Omega-3 metabolism of salmon in relation to die...
Organisms: No organisms
SOPs: No SOPs
Data files: Fatty acid profile of Muscle, Liver and Gut_Fre..., Fatty acid profile of Muscle, Liver, and Gut -s..., GSF1_Freshwater_FAME, GSF1_Seawater_FAME, Muscle fatty acid analysis GenoSysFat feed-swit...
Snapshots: No snapshots
An overview of RNA sequencing data generated in GenoSysFat (and a couple of others).
Source: Email from Simen Rød Sandve to Jon Olav Vik and Fabian Grammes 2017-02-10, titled "RNAseq generert i GSF".
This should be turned into separate RNAseq Assays when we can allocate people for it. Currently the following have records already:
Tissue panel for gene expression in ZF, Med, RT https://fairdomhub.org/assays/324
Tissue panel for gene expression in ZF,Med,RT- RNA sequencing https://fairdomhub.org/assays/395 ...
Submitter: Jon Olav Vik
Assay type: Experimental Assay Type
Technology type: Rna-seq
Investigation: Omega-3 metabolism of salmon in relation to die...
NB! The files here are the old version for the files in Lipidomics (Experimental Assay)
Lipidomic analysis by LC-MS of tissue samples from the GSF1 feed-switch experiment. Samples were analyzed at NTNU by Zdenka Bartosova and Per Bruheim.
There are two separate data files of lipid analysis in muscle and liver samples. Excel sheets contains both raw and normalised data of compounds abundance. Normalization to all compounds was used as a normalization method.
We have also performed a "normalization ...
Submitter: Jon Olav Vik
Assay type: Experimental Assay Type
Technology type: Liquid Chromatography Mass Spectrometry
Investigation: Omega-3 metabolism of salmon in relation to die...
Organisms: Salmo salar
SOPs: SOP_Lipid analysis
Data files: NEG FW_Liver_Tentative Compounds Identification, NEG FW_Muscle_Tentative Compounds Identification, NEG Fresh Water Liver, NEG Fresh Water Muscle, NEG SW_Liver_Tentative Compounds Identification, NEG SW_Muscle_Tentative Compounds Identification, NEG_Salt Water Liver, NEG_Salt Water Muscle, POS FW_Liver_Tentative Compounds Identification, POS FW_Muscle_Tentative Compounds Identification, POS_ Fresh Water Liver, POS_ Fresh water Muscle, POS_Normalization_experiment, POS_Salt Water Liver, POS_Salt Water Muscle, Preliminary principal component analysis, SW_Liver_Tentative Compounds Identification- Po..., SW_Muscle_Tentative Compounds Identification- P...
Snapshots: No snapshots
Submitter: Jon Olav Vik
Provider Name: Kristin Schirmer
Provider's strain ID: RTgutGC
Organism: Oncorhynchus mykiss
Genotypes: wild-type
Phenotypes: wild-type
Comment: http://identifiers.org/cellosaurus/CVCL_DE13
Submitter: Jon Olav Vik
Provider Name: http://fish-ai.eu/
Provider's strain ID: RTdiMI
Organism: Oncorhynchus mykiss
Genotypes: wild-type
Phenotypes: wild-type
Comment: Collaboration between NMBU (Trond Kortner/Guro Løkka) and the Fish AI group in Milan.
Submitter: Jon Olav Vik
Provider Name: http://fish-ai.eu/
Provider's strain ID: RTpiMI
Organism: Oncorhynchus mykiss
Genotypes: wild-type
Phenotypes: wild-type
Comment: Collaboration between NMBU (Trond Kortner/Guro Løkka) and the Fish AI group in Milan.
Submitter: Jon Olav Vik
Provider Name: http://fish-ai.eu/
Provider's strain ID: RTpiMI
Organism: Oncorhynchus mykiss
Genotypes: wild-type
Phenotypes: wild-type
Comment: Collaboration between NMBU (Trond Kortner/Guro Løkka) and the Fish AI group in Milan.
Main page at NCBI for the salmon genome. Contains download links to annotation GFF, genome sequence FASTA, etc.
Creator: Jon Olav Vik
Submitter: Jon Olav Vik
Investigations: 1 hidden item
Studies: 1 hidden item
Assays: 1 hidden item
_p_RNAinVAL/_I_03_Omics/_S_02_metagenome_resp/_A_05_extr_reads-rcf/
Creator: Marko Petek
Submitter: Marko Petek
_p_RNAinVAL/_I_03_Omics/_S_02_metagenome_resp/_A_03-Centrifuge/
Creator: Marko Petek
Submitter: Marko Petek
_p_RNAinVAL/_I_03_Omics/_S_02_metagenome_resp/_A_05_extr_reads-rcf/
Creator: Marko Petek
Submitter: Marko Petek
_p_RNAinVAL/_I_03_Omics/_S_02_metagenome_resp/_A_06_extr_bact-assembly/
Creator: Marko Petek
Submitter: Marko Petek
_p_RNAinVAL/_I_03_Omics/_S_02_metagenome_resp/_A_06_extr_bact-assembly/
Creator: Marko Petek
Submitter: Marko Petek
_p_RNAinVAL/_I_03_Omics/_S_02_metagenome_resp/_A_03-Centrifuge/
Creator: Marko Petek
Submitter: Marko Petek
_p_RNAinVAL/_I_03_Omics/_S_02_metagenome_resp/_A_05_extr_reads-rcf/
Creator: Marko Petek
Submitter: Marko Petek
_p_RNAinVAL/_I_03_Omics/_S_02_metagenome_resp/_A_06_extr_bact-assembly/
Creator: Marko Petek
Submitter: Marko Petek
_p_RNAinVAL/_I_03_Omics/_S_02_metagenome_resp/_A_05_extr_reads-rcf/
Creator: Marko Petek
Submitter: Marko Petek
_p_RNAinVAL/_I_03_Omics/_S_02_metagenome_resp/_A_06_extr_bact-assembly/
Creator: Marko Petek
Submitter: Marko Petek
_p_stRT/_I_STRT/_S_04_stPanTr/_A_08_centrifuge_3cvs-GFFmerged
Creator: Andrej Blejec
Submitter: Andrej Blejec
Excel file summarizing:
- Name of the RNAseq study
- Orion path were the .fastq files are stored
- Year the libraries were sequenced
- short description
Creators: Fabian Grammes, Simen Sandve
Submitter: Fabian Grammes
columns are ' id' , 'ncbi_taxa_id' , 'common_names' , 'lineage_string' , 'genus' , 'species' , 'parent_id' , 'left_value' , 'right_value' , 'taxonomic_rank'.
Investigations: Cancer Hallmark Consensus
Studies: Evolution of Gene Ontology Terms
_p_RNAinVAL/_I_03_Omics/_S_02_metagenome_resp/_A_04_DE_divers-R/
Creator: Marko Petek
Submitter: Marko Petek
_p_RNAinVAL/_I_03_Omics/_S_02_metagenome_resp/_A_04_DE_divers-R/
Creator: Marko Petek
Submitter: Marko Petek
_p_RNAinVAL/_I_03_Omics/_S_02_metagenome_resp/_A_03-Centrifuge/
Creator: Marko Petek
Submitter: Marko Petek
_p_RNAinVAL/_I_03_Omics/_S_02_metagenome_resp/_A_05_extr_reads-rcf/
Creator: Marko Petek
Submitter: Marko Petek
Creators: Jasper Koehorst, Jon Olav Vik, Peter Schaap
Submitter: Jasper Koehorst
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
_p_stRT/_I_STRT/_S_04_stPanTr/_A_08_centrifuge_3cvs-GFFmerged
Creator: Andrej Blejec
Submitter: Andrej Blejec
Atlantic salmon (Salmo salar) is the most valuable farmed fish globally and there is much interest in optimizing its genetics and rearing conditions for growth and feed efficiency. Marine feed ingredients must be replaced to meet global demand, with challenges for fish health and sustainability. Metabolic models can address this by connecting genomes to metabolism, which converts nutrients in the feed to energy and biomass, but such models are currently not available for major aquaculture species ...
Creators: Maksim Zakhartsev, Filip Rotnes, Marie Gulla, Ove Oyas, Jesse van Dam, Maria Suarez Diez, Fabian Grammes, Wout van Helvoirt, Jasper Koehorst, Peter Schaap, Yang Jin, Liv Torunn Mydland, Arne Gjuvsland, Sandve Simen, Vitor Martins dos Santos, Jon Olav Vik
Submitter: Jon Olav Vik
Model type: Stoichiometric model
Model format: SBML
Environment: Not specified
We have adapted the definitions of terms in [ISA best practice][1] and [programmes and projects][2]:
Programme = Overarching research theme (The Digital Salmon) Project = Research grant (DigiSal, GenoSysFat) Investigation = a particular biological process, phenomenon or thing (typically corresponds to [plans for] one or more closely related papers) Study = experiment whose design reflects a specific biological research question Assay = standardized measurement or diagnostic experiment using a ...
Creators: Jon Olav Vik, Natalie Stanford
Submitter: Jon Olav Vik
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Creator: Charles Demurjian
Submitter: Charles Demurjian
Investigations: Shoulders Lab Individual Publications
Studies: Human cartilage model of the precocious osteoar...
Assays: Gene Expression Analysis - Data Linked, Library Creation - Metadata, RNA Extraction - Metadata, Short Read Sequencing - Data Linked, iPSC Culture and Chondronoid Formation - Metadata
Source: Tom Harvey [E- mail from Jon Olav 19 May 2016]
Creators: Graceline Tina Kirubakaran, Thomas Harvey, Jacob Seilø Torgersen
Submitter: Graceline Tina Kirubakaran
Investigations: Omega-3 metabolism of salmon in relation to die...
Studies: GSF1: Salmon feed-switch experiment vegetable a... and 5 hidden items
Assays: RNA sequencing Feed switch- Liver and Gut and 17 hidden items
Extraction procedure and lipid analysis.
Creators: Zdenka Bartosova, Jon Olav Vik, Per Bruheim, Thomas Harvey
Submitter: Zdenka Bartosova
Investigations: Omega-3 metabolism of salmon in relation to die...
Studies: GSF1: Salmon feed-switch experiment vegetable a...
Assays: Metabolomics
Measurement of the transmembrane pH gradient and thus pHi, when the external pH is known.
Creator: Lisbeth Lyngberg
Submitter: Lisbeth Lyngberg
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
All creators
Describes how the DNA was isolated from salmon intestinal samples before preparations of 16S rRNA gene amplicons for the Illumina MiSeq system.
Creators: Stuart Owen, Sahar Hassani, RAGNHILD ÅNESTAD, Jesse van Dam, Dagmar Waltemath, Kristina Vagonyte-Hallan, Kristil Sundsaasen, Natalie Stanford, Lars Snipen, Sandve Simen, Jacob Seilø Torgersen, Inga Leena Angell, Dominic Nanton, Vitor Martins dos Santos, Torgeir R. Hvidsten, Thomas Harvey, Hanne Hellerud Hansen, Fabian Grammes, Arne Gjuvsland, Gareth Gillard, Graceline Tina Kirubakaran, Jon Olav Vik
Submitter: Inga Leena Angell
Describes the workflow used for preparation of a 16S rRNA gene amplicon (V3-V4 region) Library for sequencing on a MiSeq platform (Illumina) using V3 sequencing chemistry with 300 base pairs paired-end reads.
Creators: Inga Leena Angell, Jon Olav Vik, Graceline Tina Kirubakaran, Sahar Hassani
Submitter: Inga Leena Angell
Investigations: Omega-3 metabolism of salmon in relation to die... and 1 hidden item
Studies: GSF1: Salmon feed-switch experiment vegetable a... and 1 hidden item
Assays: Feed switch 2015-09, 2016-01 Solbergstranda, gu... and 1 hidden item
Use this template when you upload RNA sequencing data. Email : 31 May 2016 More columns need to be added PE/SE etc?
Creators: Graceline Tina Kirubakaran, Jon Olav Vik, Thomas Harvey, Sandve Simen, Hanne Hellerud Hansen
Submitter: Graceline Tina Kirubakaran
Investigations: Omega-3 metabolism of salmon in relation to die... and 2 hidden items
Studies: GSF1: Salmon feed-switch experiment vegetable a... and 7 hidden items
Assays: RNA sequencing Feed switch- Liver and Gut and 8 hidden items
Winter conditions for 5 weeks (6th october – 10th November):
- Light on 12 hours per day
- Turn off water heating
- Feeding probably needs to be adjusted according to lower metabolism and feed intake in cold water
Spring condition (10th of November – 15th of December):
- Water heating on
- constant light (24hrs/day)
Vaccination (when and by whom?)
Transfer to sea-water (15th of December)
Last sampling for GenoSysFat in sea water (5th January – 25th of January).
Source: email with subject ...
Creators: Jon Olav Vik, Sandve Simen
Submitter: Jon Olav Vik
Abstract (Expand)
Authors: Maksim Zakhartsev, Filip Rotnes, Marie Gulla, Ove Oyas, Jesse van Dam, Maria Suarez Diez, Fabian Grammes, Robert Hafthorsson, Wout van Helvoirt, Jasper Koehorst, Peter Schaap, Yang Jin, Liv Torunn Mydland, Arne Gjuvsland, Sandve Simen, Vitor Martins dos Santos, Jon Olav Vik
Date Published: 1st Jun 2022
Publication Type: Journal
DOI: 10.1371/journal.pcbi.1010194
Citation:
Abstract (Expand)
Authors: Y Jin, IL Angell, SR Sandve, LG Snipen, Y Olsen, K Rudi
Date Published: 24th Jan 2019
Publication Type: Not specified
DOI: 10.3354/aei00297
Citation: Aquacult. Environ. Interact. 11 : 31
Abstract (Expand)
Authors: S. Lien, B. F. Koop, S. R. Sandve, J. R. Miller, M. P. Kent, T. Nome, T. R. Hvidsten, J. S. Leong, D. R. Minkley, A. Zimin, F. Grammes, H. Grove, A. Gjuvsland, B. Walenz, R. A. Hermansen, K. von Schalburg, E. B. Rondeau, A. Di Genova, J. K. Samy, J. Olav Vik, M. D. Vigeland, L. Caler, U. Grimholt, S. Jentoft, D. Inge Vage, P. de Jong, T. Moen, M. Baranski, Y. Palti, D. R. Smith, J. A. Yorke, A. J. Nederbragt, A. Tooming-Klunderud, K. S. Jakobsen, X. Jiang, D. Fan, Y. Hu, D. A. Liberles, R. Vidal, P. Iturra, S. J. Jones, I. Jonassen, A. Maass, S. W. Omholt, W. S. Davidson
Date Published: 18th Apr 2016
Publication Type: Not specified
PubMed ID: 27088604
Citation: Nature. 2016 Apr 18;533(7602):200-5. doi: 10.1038/nature17164.
Abstract (Expand)
Authors: Knut Rudi, Inga Leena Angell, Phillip B. Pope, Jon Olav Vik, Simen Rød Sandve, Lars-Gustav Snipen
Date Published: 15th Jan 2018
Publication Type: Not specified
DOI: 10.1128/AEM.01974-17
Citation: Appl Environ Microbiol 84(2) : e01974-17
Abstract (Expand)
Authors: G. Gillard, T. N. Harvey, A. Gjuvsland, Y. Jin, M. Thomassen, S. Lien, M. Leaver, J. S. Torgersen, T. R. Hvidsten, J. O. Vik, S. R. Sandve
Date Published: No date defined
Publication Type: Not specified
PubMed ID: 29431879
Citation: Mol Ecol. 2018 Feb 12. doi: 10.1111/mec.14533.
Abstract (Expand)
Authors: Alex K. Datsomor, Nikola Zic, Keshuai Li, Rolf E. Olsen, Yang Jin, Jon Olav Vik, Rolf B. Edvardsen, Fabian Grammes, Anna Wargelius, Per Winge
Date Published: 1st Dec 2019
Publication Type: Not specified
DOI: 10.1038/s41598-019-43862-8
Citation: Sci Rep 9(1) : 266
Abstract (Expand)
Authors: Pål A. Olsvik, Anett Kristin Larsen, Marc H. G. Berntssen, Anders Goksøyr, Odd André Karlsen, Fekadu Yadetie, Monica Sanden, Torstein Kristensen
Date Published: 26th Sep 2019
Publication Type: Journal
Citation: Front. Genet. 10,794
Abstract (Expand)
Authors: L. van Steijn, F. J. Verbeek, H. P. Spaink, R. M. H. Merks
Date Published: 20th Jun 2019
Publication Type: Not specified
PubMed ID: 31216234
Citation: Zebrafish. 2019 Aug;16(4):348-362. doi: 10.1089/zeb.2018.1712. Epub 2019 Jun 19.
Abstract (Expand)
Author: M. Bekaert
Date Published: 14th Nov 2012
Publication Type: Not specified
PubMed ID: 23166792
Citation: PLoS One. 2012;7(11):e49903. doi: 10.1371/journal.pone.0049903. Epub 2012 Nov 14.
Abstract
Authors: J. G. Caporaso, J. Kuczynski, J. Stombaugh, K. Bittinger, F. D. Bushman, E. K. Costello, N. Fierer, A. G. Pena, J. K. Goodrich, J. I. Gordon, G. A. Huttley, S. T. Kelley, D. Knights, J. E. Koenig, R. E. Ley, C. A. Lozupone, D. McDonald, B. D. Muegge, M. Pirrung, J. Reeder, J. R. Sevinsky, P. J. Turnbaugh, W. A. Walters, J. Widmann, T. Yatsunenko, J. Zaneveld, R. Knight
Date Published: 11th Apr 2010
Publication Type: Not specified
PubMed ID: 20383131
Citation: Nat Methods. 2010 May;7(5):335-6. doi: 10.1038/nmeth.f.303. Epub 2010 Apr 11.
Abstract (Expand)
Authors: A. Brazma, P. Hingamp, J. Quackenbush, G. Sherlock, P. Spellman, C. Stoeckert, J. Aach, W. Ansorge, C. A. Ball, H. C. Causton, T. Gaasterland, P. Glenisson, F. C. Holstege, I. F. Kim, V. Markowitz, J. C. Matese, H. Parkinson, A. Robinson, U. Sarkans, S. Schulze-Kremer, J. Stewart, R. Taylor, J. Vilo, M. Vingron
Date Published: 1st Dec 2001
Publication Type: Not specified
PubMed ID: 11726920
Citation: Nat Genet. 2001 Dec;29(4):365-71.
Abstract (Expand)
Author: R. C. Edgar
Date Published: 12th Aug 2010
Publication Type: Not specified
PubMed ID: 20709691
Citation: Bioinformatics. 2010 Oct 1;26(19):2460-1. doi: 10.1093/bioinformatics/btq461. Epub 2010 Aug 12.
Abstract (Expand)
Author: R. C. Edgar
Date Published: 18th Aug 2013
Publication Type: Not specified
PubMed ID: 23955772
Citation: Nat Methods. 2013 Oct;10(10):996-8. doi: 10.1038/nmeth.2604. Epub 2013 Aug 18.
Abstract (Expand)
Authors: Jie Wang, Peng Lei, Amr Ahmed Abdelrahim Gamil, Leidy Lagos, Yang Yue, Kristin Schirmer, Liv Torunn Mydland, Margareth Overland, Åshild Krogdahl, Trond M. Kortner
Date Published: 6th Feb 2019
Publication Type: Journal
Citation: Front. Immunol. 10,152
How do you communicate a complex research endeavour in simple words and pictures using only two minutes? In my case that turned out to be scientifically impossible, but we managed to shave it down to three. This poster shows and tells how we went about it.
Creator: Jon Olav Vik
Submitter: Jon Olav Vik
Talk by Jon Olav Vik, Norwegian University of Life Sciences
Creator: Jon Olav Vik
Submitter: Olga Krebs
Three-minute presentation of the Digital Salmon research programme. Explains the societal challenge of sustainable fish feed, how systems biology helps speed up the search for better solutions, and the grand aim to build a library of mathematical models of salmon physiology linked to omics data.
Creators: Jon Olav Vik, Tor Martin Austad, Kristine Løwe
Submitter: Jon Olav Vik
My graduation project presentation given on 22 of June at the Hanze University of Applied Sciences Groningen in The Netherlands.
Creator: Wout van Helvoirt
Submitter: Wout van Helvoirt
Look to medicine: Computer models enter clinical practice. The genotype x environment --> phenotype map. The Digital Life Norway network and researcher projects. The Digital Salmon: a library of models and data. The merits of mathematical modelling. Commoditizing models and data. Goals for the workshop:
- Participants' input!
- Is there support for a Digital Salmon knowledge base? -- Moral commitment from industry, academia, funders. -- Some form of consortium, reponsible for next workshop. ...
Creator: Jon Olav Vik
Submitter: Jon Olav Vik
- Digital biotechnology
- The value chain
- Examples
- Tools and funding
- Data sharing
Creators: Jon Olav Vik, Steinar Bergseth
Submitter: Jon Olav Vik
Creators: Jon Olav Vik, Bente Pretlove, Frank Børre Pedersen
Submitter: Jon Olav Vik
Improve project deployment by letting your team focus on code quality instead of fixes problems. Spend more time on new features and let your project progress getting tested automatically.
Creator: Wout van Helvoirt
Submitter: Wout van Helvoirt
Presentation by Robert Pool at the SysMO Conference (Feb 2013 in Berlin)
Creator: Robert Poole
Submitter: Michael Ederer
Presented at Digital Life 2018, Bergen, March 2018. In the Trust and Accountability session. In recent years we have seen a change in expectations for the management and availability of all the outcomes of research (models, data, SOPs, software etc) and for greater transparency and reproduciblity in the method of research. The “FAIR” (Findable, Accessible, Interoperable, Reusable) Guiding Principles for stewardship [1] have proved to be an effective rallying-cry for community groups and for policy ...
Creator: Carole Goble
Submitter: Carole Goble
Björgólfur Hávarðsson is Innovation Manager in the NCE Seafood Innovation Cluster, Norway. He leads AquaCloud, a sea-louse forecast system that streams data from 3000 netcages to provide individually tailored precautionary recommendations to its participants. What do the participants contribute, and what do they get out? What are their motivations, and how was the collaboration organised?
Creators: Jon Olav Vik, Björgólfur Hávarðsson
Submitter: Jon Olav Vik
Taxonomy URI: http://purl.bioontology.org/ontology/NCBITAXON/72036
Taxonomy URI: http://purl.bioontology.org/ontology/NCBITAXON/590
Taxonomy URI: http://purl.bioontology.org/ontology/NCBITAXON/442
Synonyms: Acetobacter hoshigaki, Acetobacter suboxydans, Gluconobacter oxydans subsp. melanogenes, Gluconobacter nonoxygluconicus, Gluconobacter scleroideus, Gluconobacter uchimurae, Acetobacter industrius, Acetobacter viscosum, Gluconobacter industrius, Bacterium hoshigaki var. rosea, Gluconoacetobacter cerinus, Acetobacter gluconicum, Gluconoacetobacter roseus, Acetobacter roseum, Gluconobacter rubiginosus, Gluconobacter suboxydans, Gluconobacter oxydans subsp. oxydans, Gluconoacetobacter nonoxygluconicus, Gluconobacter melanogenus, Acetobacter dioxyacetonicus, "Acetobacter melanogenum (sic) var. maltovorans" Frateur 1950, Bacillus industrius, "Gluconobacter roseus" (Asai 1935) Asai and Shoda 1958, Bacillus oxydans, Bacterium industrium, Acetobacter capsulatum, Gluconobacter capsulatus, Acetobacter suboxydans var. muciparum, Acetogluconobacter dioxyacetonicus, Salmonella gluconica, Acetobacter suboxydans var. hoyerianum, Acetobacter melanogenum var. malto-saccharovorans, Bacterium oxydans, Gluconoacetobacter opacus, Bacterium industrium var. hoshigaki, Gluconobacter oxydans subsp. suboxydans, Gluconoacetobacter rugosus, Gluconoacetobacter scleroideus, Acetomonas melanogena, Bacterium gluconicum, Acetobacter suboxydans var. biourgianum, "Acetobacter melanogenum (sic) var. malto-saccharovorans" Frateur 1950, "Gluconobacter albidus" (Kondo and Ameyama 1958) Asai et al. 1964, Gluconobacter gluconicum, Bacterium aceti viscosum, Acetobacter melanogenus, Gluconobacter oxydans subsp. melanogenus, Acetobacter melanogenum var. maltovorans, Acetobacter oxydans, Acetobacter rubiginosus, Gluconobacter dioxyacetonicus, Acetomonas oxydans, Gluconobacter oxydans subsp. industrius
The first Digital Salmon industry workshop raised awareness of the Digital Salmon vision and engaged major industry players in discussions on data sharing and reuse, guidelines and best practices for private-public collaboration. The workshop was a success, and a Digital Salmon working group was formed, comprising industry, academia and funding bodies. Its first task is to develop a white paper to be presented to the industry in summer of 2020.
Start Date: 5th Jun 2019
End Date: 6th Jun 2019
Event Website: Not specified
Country: Norway
City: Ski
Our 2018 DigiSal project meeting is held as a satellite meeting of Digital Life 2018 (https://digitallifenorway.org/arrangementer/digitallife-2018).
Most of DS18 will be spent on breakout sessions to work on upcoming publications. Task leaders will prepare:
-
Abstracts to DLN18. (Deadline was 15 Feb.) Presenting DigiSal progress here rather than at DS18 frees up time for the paper preparation sessions.
-
Identify two papers in preparation, which will be worked on at DS18: Title, first and ...
Start Date: 21st Mar 2018
End Date: 22nd Mar 2018
Event Website: Not specified
Country: Norway
City: Bergen
Abstracts and posters from DigiSal for Digital Life 2018.
Start Date: 20th Mar 2018
End Date: 21st Mar 2018
Event Website: https://digitallifenorway.org/arrangementer/digitallife-2018
Country: Norway
City: Bergen
Good data and model management improves the longevity and impact of your interdisciplinary research. FAIRDOM offers software and expertise to support you in better managing your interdisciplinary life-science projects, particularly in systems and synthetic biology. If you have never heard of data and model management, or are curious about it, or you are an expert keen to exchange ideas, our user meeting is the place for you! At the meeting you can
- Learn why data and model management is important, ...
Start Date: 15th Sep 2016
End Date: 15th Sep 2016
Event Website: http://fair-dom.org/communities/users/barcelona-2016-first-user-meeting/
Country: Spain
City: barcelona
Creator: Jon Olav Vik
Submitter: Jon Olav Vik
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
_p_RNAinVAL/_I_03_Omics/_S_02_metagenome_resp/_A_01-DNAisol/
Creator: Marko Petek
Submitter: Marko Petek
Detailed programme with organizers' notes.
Creator: Jon Olav Vik
Submitter: Jon Olav Vik
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Data modelling methods that are capable of maintaining block structure, as for example the block structure of the blocks of lipid classes, are called multi-block methods e.g. Consensus Principal Component Analysis (CPCA) and Multi-block Partial Least Squares Regression (MBPLSR). CPCA and MBPLR are two large families of MB methods. The developed methods can still be transferred to other data analysis methods. CPCA and MBPLSR which are extensions of PCA and PLSR to multi-block data sets can be ...
Creator: Sahar Hassani
Submitter: Sahar Hassani
Investigations: Omega-3 metabolism of salmon in relation to die...
Studies: GSF1: Salmon feed-switch experiment vegetable a...
Assays: Lipidomics, Metabolomics
_p_RNAinVAL/_I_03_Omics/_S_02_metagenome_resp/_A_01-DNAisol/
Creator: Marko Petek
Submitter: Marko Petek
DigiSal Metabolomics and Lipidomics Update
Conclusion:
- Organic acid test ok
- Next
- Analyze all samples for OA (or selection? – include days and feed variation)
- Then aminoacids?
- Evaluate results – choose some samples for CapIC?
Creator: Per Bruheim
Submitter: Per Bruheim
Investigations: Omega-3 metabolism of salmon in relation to die...
Studies: GSF1: Salmon feed-switch experiment vegetable a...
Assays: Lipidomics, Metabolomics