Expertise: Data Management, Python, Programming
Tools: Python
Projects: Group Data Science, Targeting the immunoproteasome: Analyzing the biological effects of specific versus pan inhibition, Macrophage and neutrophil redox proteome in infection with Mycobacterium tuberculosis
Institutions: Forschungszentrum Borstel
https://orcid.org/0009-0008-0344-2740Expertise: Bioinformatics, Data analysis, Proteomics, Python, R
Projects: MESI-STRAT
Institutions: Charité University Medicine Berlin
https://orcid.org/0000-0001-5440-5503Tools: R, Python, Data Science, Bioinformatics, Single Cell analysis
PhD student
Projects: DigiSal, GenoSysFat, SEEK tutorial for DigiSal
Institutions: Norwegian University of Life Sciences
https://orcid.org/0000-0002-7450-619XExpertise: Computational Systems Biology, Bioinformatics, Data analysis
Researcher at the DigiSal project. Recently graduated M.Sc. in Chemistry and Biotechnology.
Projects: Working Group Nicole Radde, SteaPKMod
Institutions: University of Stuttgart
https://orcid.org/0000-0002-5300-0915Currently I focuse on the integration of data into multi-scale models with statistical methods and uncertainty tracking in the research unit QuaLiPerF.
Projects: BioCreative VII
Institutions: Heidelberg Institute for Theoretical Studies (HITS gGmbH)
Expertise: Physics, Mathematics
Tools: Python, Machine Learning, Data analysis
Projects: FAIRDOM, BioCreative VII, The BeeProject, SDBV/HITS, Semantic Table Interpretation in Chemistry
Institutions: Heidelberg Institute for Theoretical Studies (HITS gGmbH)
https://orcid.org/0000-0002-7585-4479Expertise: Data analysis, Computational Systems Biology, Databases, Data Management, Table Curation
Tools: Machine Learning, Python, Java, standards, Data Integration
Expertise: Bioinformatics, Computational Systems Biology, Data Management, Databases, Python, R, Transcriptomics, Image analysis, Genomics, Molecular Biology, Microbiology, Data analysis, Genetics
Tools: qPCR, Isolation purification and separation, Genomics, Data Science, RNA / DNA Techniques, Transcriptomics, Microbiology, Molecular Biology, Databases
I am a biochemist & bio-informatician working in phytobacteriology at the Plant Sciences Unit of ILVO, the Flanders Research Institute for Agricultural, Fisheries and Food Research. The focus is on genomics-based research and diagnostics for Plant Health.
My expertise is 'wet-lab' work (microbiology, sequencing, molecular biology, design & validation of diagnostics assays using qPCR/LAMP, automatisation) and 'dry-lab' work such as bio-informatics/data analysis (e.g. scripting analysis ...
Projects: COVID-19 Disease Map
Institutions: National Institute of Informatics
https://orcid.org/0000-0001-8725-3366Expertise: Bioinformatics, Computational Systems Biology, Curation, Data analysis, Systems Biology
Tools: SBML, Python, Matlab, Systems Biology, Bioinformatics
Projects: Kinetics on the move - Workshop 2016, COVID-19 Disease Map, NMTrypI - New Medicines for Trypanosomatidic Infections, CoVIDD - Coronavirus interactions in drug discovery - optimization and implementation
Institutions: Kinetics on the move Workshop at HITS, Heidelberg Institute for Theoretical Studies (HITS gGmbH), University of Eastern Finland (UEF)
https://orcid.org/0000-0002-2801-8902Projects: MPIEvolBio-SciComp
Institutions: Max Planck Institute for Evolutionary Biology
https://orcid.org/0000-0002-2579-5546I'm heading the Scientific Computing Unit at Max Planck Institute for Evolutionary Biology in Plön, Germany. My interest is the application of high performance and high throughput computing in data processing, data analysis, and numerical simulations of dynamical processes. I have a background in Theoretical Physics with a Ph.D. from Rostock University (2008), where I studied analytical models and numerical simulations of extremely dense and hot matter.
After a postdoc at the Lawrence Livermore ...
Projects: COVID-19 Disease Map
Institutions: University of Tübingen
https://orcid.org/0000-0002-0248-6679Projects: COVID-19 Disease Map
Institutions: University Maastricht
https://orcid.org/0000-0002-7770-620XExpertise: Knowledge integration, Curation, Data Integration, rare diseases, Systems Biology, GMP, GCP, Neuroscience
Tools: wikipathways, pathvisio, Cytoscape, R, Python, Statistics
Projects: EmPowerPutida, COVID-19 Disease Map
Institutions: Wageningen University & Research, University Maastricht
https://orcid.org/0000-0003-3091-3962Expertise: Systems Biology, Mathematical modelling, Biotechnology, Synthetic Biology, Metabolic Engineering, metabolism, Metabolic Networks, SARS-CoV 2, COVID-19, Pathway Curation, Pathway Analysis, Network Analysis
Tools: Matlab, Computational Systems Biology, Flux balance analysis, omics analysis, Python, R, Constraint-based analysis
My research interest is in studying cellular and molecular pathways of COVID-19 disease.
Projects: COVID-19 Disease Map
Institutions: Monash University
https://orcid.org/0000-0002-9207-0385Expertise: Bioinformatics, Machine Learning, Data analysis, Deep Learning, Molecular Biology, Plant biology
Tools: Python, R, SQL, High Performance Computing
Projects: COVID-19 Disease Map
Institutions: Pondicherry University
https://orcid.org/0000-0003-4854-8238Expertise: Bioinformatics, Transcriptomics, Computational Systems Biology, Data analysis
Tools: Data Integration, R, Databases, Python, Cytoscape, network theory
PhD Student at Centre for Bioinformatics, Pondicherry University, Pondicherry, India.
Projects: Not specified
Institutions: Not specified
Expertise: Deep Learning
Tools: R, Python, Shell scripting
Projects: COVID-19 Disease Map
Institutions: Ontario Institute for Cancer Research
https://orcid.org/0000-0002-4650-631XExpertise: Software Engineering, Bioinformatics, Biocuration
Projects: COVID-19 Disease Map
Institutions: European Molecular Biology Laboratory
https://orcid.org/0000-0002-7249-9379Expertise: protein-protein interactions, Databases, Pathways, lipidomics, Data analysis, Visualization
Projects: CoolWine
Institutions: Norwegian University of Science and Technology
https://orcid.org/0000-0002-3485-1634Expertise: Systems Biology
Tools: network theory, FBA, R, Python, Statistics
PhD candidate working on the CoolWine project
Projects: COVID-19 Disease Map, Covid-19 Interferon pathway modelling and analysis, Boolean modeling of Parkinson disease map
Institutions: Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg
https://orcid.org/0000-0001-7403-181XExpertise: Machine Learning, Deep Learning, Modeling, Medical microbiology, Molecular Biology
Tools: Python, R, Matlab, Javascript, SBML, Dynamic modelling, microbiology techniques, Shell scripting
Projects: COVID-19 Disease Map, Covid-19 Interferon pathway modelling and analysis
Institutions: Inria Saclay - Île-de-France, University of Évry Val d'Essonne
https://orcid.org/0000-0001-5525-7418Expertise: Computational Systems Biology
Tools: Petri Nets, constraint programming, model checking, Python, ODE Modelling, Prolog
Projects: COVID-19 Disease Map
Institutions: University of Tübingen
https://orcid.org/0000-0003-3851-9978Expertise: Curation, Computational Systems Biology, Constraint-based Modelling, Systems Biology
Tools: SBML, Python, cobrapy toolbox, CellDesigner, libSBML, jupyter notebooks
Projects: COVID-19 Disease Map
Institutions: University of Tübingen
https://orcid.org/0000-0002-1240-5553Expertise: Systems Biology, Computational Systems Biology, Databases, Dynamic modelling, Java, Mathematical modelling, Metabolic Engineering, Disease Maps, Curation, Modeling, Data Integration, Constraint-based Modelling, Parameter estimation
Tools: SBML, SBGN, SBGNML, JSBML, Jupyter, Python, cobrapy toolbox, SBSCL, InSilico, Kinetic Modeling
Andreas Dräger is the assistant professor for Computational Systems Biology of Infection and Antimicrobial-Resistant Pathogens at the University of Tübingen in Germany. His group aims to combat the spreading antibiotics resistances by using mathematical modeling and computer simulation of bacterial systems up to entire microbiomes and host-pathogen interactions. In doing so, his group actively contributes to the advancement of various COMBINE standards.
Expertise: Systems Biology, SBML, Java, Python, Machine Learning, Mathematical modelling, SBGN, Curation
Tools: CellDesigner, SBML, SBGN
Projects: COVID-19 Disease Map
Institutions: University of Applied Sciences Mittweida
https://orcid.org/0000-0002-1788-9593Expertise: standards, Systems Biology, Bioinformatics, Computational Systems Biology, Java, Python, SBGN
Tools: SBGN-ED
Projects: COVID-19 Disease Map
Institutions: University of Pittsburgh
Expertise: Mathematical modelling, Network Analysis, Dynamics and Control of Biological Networks
Tools: R, Matlab, Python, ODE Modelling
Projects: COVID-19 Disease Map
Institutions: Barcelona Supercomputing Center
https://orcid.org/0000-0002-7696-1241I completed my BSc in Biology and MSc in Cell Biology by the University of Valencia. During my last undergrad year I participated in synthetic biology’s iGEM competition where I dove in the use of models in Biology, which pushed me to pursue a PhD in the Department of Applied Mathematics in the Technical University of Valencia.
My research on Metabolic Engineering of hydrogen in cyanobacteria led me to be visiting researcher at Uppsala University, Denmark Technical University and EMBL Heidelberg. ...
Projects: COVID-19 Disease Map
Institutions: ICAHN Icahn School of Medicine at Mount Sinai
https://orcid.org/0000-0002-1605-8130Expertise: Reaction Networks, Rule-based Models, Mechanistic Modelling
Experienced in developing rule-based models of complex biochemical reaction networks, as well as developing new rule-based approaches. Extensive experience with BioNetGen, a tool for building complex reaction networks succinctly with rules. Currently working with Jonathan Karr at Dept. Genetics & Genomics at Mount Sinai School of Medicine on extending rule-based approaches to transcription, translation and other sequence-based mechanisms.
Projects: COVID-19 Disease Map
Institutions: Luxembourg Centre for Systems Biomedicine (LCSB)
https://orcid.org/0000-0002-8278-240XExpertise: Biological knowledge managament, Systems Biology, Biocuration
Tools: CellDesigner, Cytoscape, Python, Shell scripting, NetworkX, Protein2GO
Projects: Simulation Foundries, CML for thermophysical properties of mixtures, Test Project (dummy), Towards Reproducible Enzyme Modeling
Institutions: University of Stuttgart, Karlsruhe Institute of Technology (KIT)
https://orcid.org/0000-0001-9119-1778Expertise: enzyme kinetics, enzymes, Enzymatic reactions, biochemical enzyme characterization, Biochemistry, molecular simulation, molecular modeling, Programming, Bioinformatics, Computational Biology
Tools: Gromacs, Python, Molecular Dynamics, bash, Biochemistry, Bioinformatics, Biochemistry and protein analysis, Enzyme assay, enzyme kinetics, isothermal titration calorimetry, dynamic light scattering, Spectrophotometry
Polyglot European Scientist. I thrive working in interdisciplinary environments combining the study of enzyme reactions and mechanisms with bioinformatics, molecular modelling, automated data analysis and data stewardship.
Expertise: Software Engineering, Machine Learning
Tools: Python, cobrapy toolbox
Projects: pISA-tree, HYp - Spatiotemporal analysis of hypersensitive response to Potato virus Y in potato, INDIE - Biotechnological production of sustainable indole, _p_stRT, ADAPT - Accelerated Development of multiple-stress tolerAnt PoTato, tst, tst2
Institutions: National Institute of Biology, tst
https://orcid.org/0000-0002-1669-6482Expertise: Molecular Biology, Statistics, Bioinformatics, Mathematical and statistical modeling, Programming, Data analysisMathematical modellingBioinformaticsSystems biology, Data Management, Data analysis, Visualization, Data Integration, Computational Biology
Tools: Bioinformatics, Computational and theoretical biology, Computational Systems Biology, Data Management, Databases, Dynamic modelling, Molecular Biology, Python, R, Systems Biology, Data Integration
Computational Biologist and Biostatistician at Department of Biotechnology and Systems Biology, National Institute of Biology (NIB)
Projects: iRhythmics, OLCIR: Optimization of Lung Cancer Therapy with Ionizing Radiation
Institutions: University of Rostock
https://orcid.org/0000-0002-1887-4772Expertise: Bioinformatics, Transcriptomics, RNA-Seq, AI, Data Integration
Projects: WG Infrastructure for Translational Research, GMDS Project Group "FAIRe Dateninfrastrukturen für die Biomedizinische Informatik", Translational Bioinformatics, Medical Biometry, Epidemiology, Medical Informatics
Institutions: University Medical Center Göttingen, University of Tübingen, University of Saarland
https://orcid.org/0000-0002-1505-594XExpertise: Programming, Bioinformatics, Data Management, Databases, Java, Python, R, standards, Data Integration
Tools: Python, Bioinformatics, Data Management, Databases, R, Java, Data Integration
Institutions: Latvia University of Agriculture
Expertise: Python, Systems Biology, Dynamic modelling, Mathematical modelling
Tools: COBRA toolbox, cobrapy toolbox, Python, SBML, Copasi, Computational Systems Biology
Lutz Brusch is heading the research group "Spatio-temporal pattern formation in cells and tissues" at the Centre for Information Services and High Performance Computing of TU Dresden, Germany. The group is co-developing the multi-cellular modelling and simulation framework Morpheus (https://morpheus.gitlab.io) and is collaborating with experimental labs on questions of tissue morphogenesis and regeneration.
Projects: OXYMOD
Institutions: Norwegian University of Science and Technology
https://orcid.org/0000-0002-1644-3223Expertise: protein NMR, lytic polysaccharide monooxygenases
Tools: NMR, Molecular Biology, Biochemistry and protein analysis, Python
Expertise: Dynamic modelling, Biochemistry, Metabolomics, Programming, Data Integration, Parameter estimation
Tools: AMICI, Python, c++, Parameter estimation, PEtab
Projects: FAIRDOM user meeting
Institutions: Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute (HKI)
Expertise: Bioinformatics, Data Management, Python, R, Databases, RNA-Seq, secondary metabolites, gene clusters, Perl
Projects: COMBINE Multicellular Modelling
Institutions: Indiana University Bloomington
https://orcid.org/0000-0002-7440-2905Expertise: Mathematical modelling, Data Management, Software Engineering, Python, standards, c++
Research Associate in the Macklin Lab, School of Informatics, Computing, and Engineering. Indiana University, Bloomington, IN USA.
Projects: COMBINE Multicellular Modelling
Institutions: University College London (UCL)
https://orcid.org/0000-0001-5963-8576Expertise: Dynamic modelling, Databases, Mathematical modelling, standards, Neuroscience, NeuroML
Projects: SAFE-Aqua, Biomics Projects
Institutions: Institut Pasteur
https://orcid.org/0000-0001-6286-1138Projects: DigiSal, GenoSysFat, SAFE-Aqua, Unlock
Institutions: Wageningen University & Research
https://orcid.org/0000-0001-8172-8981Expertise: semantics, Software Engineering, R, Python, Java, Data Management, Databases, Genetics, Genomics, Microbiology
Biochemist currently keeping busy as: Research Data Manager (Vrije Universiteit Amsterdam), Software Engineer (Heidelberg University) and member of the SBML Development Team (Caltech).
Projects: EmPowerPutida
Institutions: LifeGlimmer GmbH
Expertise: Data Management, Databases, Bioinformatics, Python, Java, Molecular Biology, Data Integration
Tools: Data Management
Computational Biologist
Projects: MycoSynVac - Engineering Mycoplasma pneumoniae as a broad-spectrum animal vaccine, WURSynBio
Institutions: Wageningen University & Research
https://orcid.org/0000-0001-7049-5334Expertise: Bioinformatics, Systems Biology, Agent-based modelling, Dynamic modelling, Python, Java, R, pathogen host interaction, Molecular Biology
Tools: Copasi, libRoadrunner, Python, R, semantic web
I am a researcher (PhD student) working at Wageningen University & Research as bioinformatician and modeller. I am working as part of the MycoSynVac (http://www.mycosynvac.eu/) project on dynamic modelling of central carbon metabolism in M. pneumoniae, to be extended to full dynamic modelling of metabolism to be implemented in a whole cell model. I am also looking into possibilities to improve standards in model generation using semantic technologies, improving automatic generation, annotation ...
Projects: SysMO DB, FAIRDOM, ICYSB 2015 - International Practical Course in Systems Biology, de.NBI-SysBio, Regeneration and Repair in Acute-on-Chronic Liver Failure (LiSyM-ACLF - Pillar III), Early Metabolic Injury (LiSyM-EMI - Pillar I), Chronic Liver Disease Progression (LiSyM-DP - Pillar II), LiSyM Core Infrastructure and Management (LiSyM-PD), Liver Function Diagnostics (LiSyM-LiFuDi - Pillar IV), Molecular Steatosis - Imaging & Modeling (LiSyM-MSIM), Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF), Model Guided Pharmacotherapy In Chronic Liver Disease (LiSyM-MGP), The Hedgehog Signalling Pathway (LiSyM-JGMMS), Kinetics on the move - Workshop 2016, Example use cases, SBEpo - Systems Biology of Erythropoietin, FAIRDOM & LiSyM & de.NBI Data Structuring Training, MESI-STRAT, INCOME, EnzymeML, PoLiMeR - Polymers in the Liver: Metabolism and Regulation, MS_DILI, GMDS Project Group "FAIRe Dateninfrastrukturen für die Biomedizinische Informatik", COMBINE Multicellular Modelling, COVID-19 Disease Map, COVID-19 related studies and tools in Germany, nfdi4health - German National Research Data Infrastructure for Personal Health Data, NMTrypI - New Medicines for Trypanosomatidic Infections, ModeleXchange initiative, SNAPPER: Synergistic Neurotoxicology APP for Environmental Regulation, BioCreative VII, SDBV ephemeral data exchanges, The BeeProject, SDBV/HITS, MESI-STRAT Review, MESI-Review 2024, DeepCurate
Institutions: Heidelberg Institute for Theoretical Studies (HITS gGmbH)
https://orcid.org/0000-0002-4980-3512I am group leader of the SDBV (Scientific Databases and Visualisation) group at the HITS gGmbH, the Heidelberg Institute for Theoretical Studies.
I am interested in finding data. Starting with my master's thesis I have always worked on how to store data in a way that you can find it, and how to make sense out of data that has been stored.
Within FAIRDOM I find interesting to help people to store their data in a way that they make sense even after years.
Projects: Kinetics on the move - Workshop 2016
Institutions: Heidelberg Institute for Theoretical Studies (HITS gGmbH)
Expertise: computational structural biology
Tools: Molecular Dynamics, Data Management, Databases, Data Science, web development, Ruby on Rails, Python
Research associate at HITS, software developer
Projects: FAIRDOM
Institutions: ETH Zurich & Basel / The Scientific IT Services (SIS) division
Expertise: Software Engineering, Scientific Computing, Databases, Distributed Systems
Tools: High Performance Computing, Statistics, SQL, Java, Python
Head of Scientific IT Services and member of the ITS executive board at ETH Zurich. Project manager of SyBIT. Project partner of the FAIRDOM Initiative.
Projects: FAIRDOM, ICYSB 2015 - International Practical Course in Systems Biology, FAIRDOM user meeting
Institutions: University of Zürich, ETH Zurich, Manchester Centre for Integrative Systems Biology, University of Manchester
Expertise: Bioinformatics, Proteomics, Genomics
Tools: Matlab, Microarray analysis, Data Management, Computational Systems Biology, Perl, Python
I hold a Medical Doctor Diploma (Lviv, Ukraine) with the specialization in General Medicine. After the graduation from the Post Graduate Program in Bioinformatics at the Seneca College/York University (Toronto, Canada), I successfully participated in the number of scientific projects conducted at the University of Toronto (Canada) and the Toronto East General Hospital (Canada).
I obtained the PhD in Bioinformatics at the Swiss Institute of Bioinformatics (Geneva, Switzerland). As a PhD student, ...
Projects: SysMetEx, Kinetics on the move - Workshop 2016
Institutions: Università della Svizzera Italiana
Expertise: ODE modelling of biological interaction network, Bioinformatics
Tools: Python, c++, Java, bash, standard bioinformatic tools
Projects: SysMO DB, Whole body modelling of glucose metabolism in malaria patients, Manchester Institute for Biotechnology, FAIRDOM, ICYSB 2015 - International Practical Course in Systems Biology, GenoSysFat, DigiSal, FAIRDOM user meeting
Institutions: University of Manchester - Department of Computer Science, Manchester Centre for Integrative Systems Biology, University of Manchester
https://orcid.org/0000-0003-4958-0184Interested in systems + synthetic biology, biotechnology, mountaineering, swimming, running, and the occasional cup of tea. Once diagnosed as an ENFP.
Projects: TRANSLUCENT
Institutions: Humboldt-Universität zu Berlin
Expertise: Bioinformatics, Data Management
I created this for all SysMo Modellers
http://www.semanticsbml.org/aym Annotate Your Model
There you can annotate your non SBML models with biological terms (MIRIAM annotations). As a cool extra you can view you model source code with inserted biological infomation.
Together with this http://www.semanticsbml.org/semanticSBML you can serach for similar BioModels. The similarity search is based on MIRIAM annotations that are attached to you model. AYM also allows you to create annotations without ...
Projects: KOSMOBAC
Institutions: University of Aberdeen
Physicist, working on the modelling side.
Projects: TRANSLUCENT
Institutions: Humboldt-Universität zu Berlin
Projects: BaCell-SysMO
Institutions: University of Goettingen
Expertise: Mathematical modelling
Tools: Bioinformatics, Computational and theoretical biology, Python, SubtiWiki
I'm a PhD student at the lab of Prof. Dr. Jörg Stülke. My main interest is to analyze the central metabolism of Bacillus subtilis using systems biology software. I have developed an algorithm to find short pathways connecting sets of metabolites and I'm also involved in SubtiWiki, the wiki for all genes of Bacillus subtilis (http://subtiwiki.uni-goettingen.de)
Projects: Noisy-Strep
Institutions: University of Cologne
Expertise: Mathematical modelling, Statistical Physics
Tools: Python, Matlab, Mathematica, Stochastic models, stochastic methods, fortran
I am a phd student working on statistical physics and complex systems and applying concepts from these fields to biology.
Assessment of the possible multiple correlation between experimentally determined TbPTR1 and TbDHFR inhibition values and corresponding anti-parasitic activities against T. brucei brucei bloodstream forms using a Python script.
Submitter: Ina Poehner
Biological problem addressed: Model Analysis Type
Investigation: Pteridines as anti-kinetoplastid folate-pathway...
Organisms: No organisms
Models: No Models
SOPs: No SOPs
Data files: Python module for calculating trivariate statis...
Snapshots: No snapshots
Assessment of possible linear correlations between predicted ADMET descriptors from QikProp (Schrödinger, LLC, New York, NY) runs and experimentally determined activities against T. brucei brucei bloodstream forms with the help of a Python script.
Submitter: Ina Poehner
Biological problem addressed: Model Analysis Type
Investigation: Pteridines as anti-kinetoplastid folate-pathway...
Organisms: No organisms
Models: No Models
SOPs: No SOPs
Data files: Python module for calculating pairwise correlat...
Snapshots: No snapshots
Assay: _A_05_BUSCO Short Name: 05_BUSCO Assay Class: DRY Assay Type: BUSCO Title: BUSCO post filtering and reassignment Description: BUSCO post filtering and reassignment pISA Assay creation date: 2019-10-22 pISA Assay creator: Maja Zagorscak Phenodata: None Featuredata: None Data: see ./input/path_to_files.txt
Submitter: Maja Zagorscak
Biological problem addressed: Validation
Investigation: _I_STRT
Study: _S_03_stCuSTr
Organisms: Solanum tuberosum
Models: No Models
SOPs: No SOPs
Data files: /input/input.tar, /output/output.tar, /scripts/scripts.tar, /transfer/transfer.zip
Snapshots: Snapshot 1
Assay: _A_02.7_VecScreen Short Name: 02.7_VecScreen Assay Class: DRY Assay Type: VecScreen Title: VecScreen on raw tr2aacds output Description: VecScreen (contamination screening) and blastn (contaminants annotation) on raw (initial) tr2aacds output pISA Assay creation date: 2019-10-22 pISA Assay creator: Maja Zagorscak Phenodata: None Featuredata: None Data: see ./input/path_to_files.txt
Submitter: Maja Zagorscak
Biological problem addressed: Validation
Investigation: _I_STRT
Study: _S_03_stCuSTr
Organisms: Solanum tuberosum, Potato virus Y
Models: No Models
SOPs: No SOPs
Data files: /input/path_to_files.txt, /intermediate.tar.gz, /output/Desiree_vecscreen.tsv, /output/PW363_vecscreen.tsv, /output/Rywal_vecscreen.tsv, /scripts/01_get_input.sh, /scripts/02_VecScreenPlus_blastn.sh, /scripts/ENCH_sumablastplus.pl
Snapshots: Snapshot 1
Assay: _A_02.3_InterProScan Short Name: 02.3_InterProScan Assay Class: DRY Assay Type: InterProScan Title: InterProScan on tr2aacds output Description: InterProScan on tr2aacds output pISA Assay creation date: 2019-10-22 pISA Assay creator: Marko Petek Phenodata: None Featuredata: None Data: see ./input/path_to_files.txt
Submitter: Maja Zagorscak
Biological problem addressed: Annotation
Investigation: _I_STRT
Study: _S_03_stCuSTr
Organisms: Solanum tuberosum
Models: No Models
SOPs: No SOPs
Data files: /input/path_to_files.txt, /intermediate/intermediate.tar, /output/Desiree_IPS_filtered_aggregated_filtere..., /output/PW363_IPS_filtered_aggregated_filtered.tsv, /output/Rywal_IPS_filtered_aggregated_filtered.tsv, /reports/IPS_PowerQuery_PivotTable.xlsx, /scripts/01_potato_tr_evigene_IPS_commands.txt, /scripts/02_reshape_merge_aggregate_filter.Rmd
Snapshots: Snapshot 1
Assay: _A_02.1_BUSCO Short Name: 02.1_BUSCO Assay Class: DRY Assay Type: BUSCO Title: BUSCO on assemblies and tr2aacds output Description: BUSCO on assemblies and tr2aacds output pISA Assay creation date: 2019-10-22 pISA Assay creator: Maja Zagorscak Phenodata: None Featuredata: None Data: see ./input/path_to_files.txt
Submitter: Maja Zagorscak
Biological problem addressed: Validation
Investigation: _I_STRT
Study: _S_03_stCuSTr
Organisms: Solanum tuberosum
Models: No Models
SOPs: No SOPs
Data files: /input/input.tar, /output/output.tar, /scripts/scripts.tar
Snapshots: Snapshot 1
This is the analysis part of the Simulation Foundry, Version 1.5.
Download and unpack the zip file and the .sh bash script. Copy them into a folder which has a meaningful name. Launch the bash script, following the instructions in the manual.
Make sure you followed the instructions in "Preparation" before running this.
Submitter: Gudrun Gygli
Biological problem addressed: various analyses of molecular dynamics simulations
Investigation: 1 hidden item
Organisms: No organisms
Models: No Models
SOPs: ANALYSIS_1.5
Data files: No Data files
Snapshots: No snapshots
This is the simulation part of the Simulation Foundry, Version 1.5.
Download and unpack the zip file and the .sh bash script. Copy them into a folder which has a meaningful name. Launch the bash script, following the instructions in the manual.
Make sure you followed the instructions in "Preparation" before running this.
Submitter: Gudrun Gygli
Assay type: Molecular Dynamics
Technology type: All-Atom
Investigation: 1 hidden item
Preparation needed to use Simulation Foundry, Version 1.5.
Please read the manual before working with this Simulation Foundry.
Pay careful attention to the installation instructions.
Note the known issues.
Submitter: Gudrun Gygli
Assay type: Instructions
Technology type: Technical Computer Installation
Investigation: 1 hidden item
This is a collection of data that have been used to analyse data on deep eutectic solvent mixtures of choline chloride:glycerol:water.
Submitter: Gudrun Gygli
Biological problem addressed: Model Analysis Type
Investigation: Deep Eutectic Solvents
Organisms: No organisms
Models: No Models
SOPs: No SOPs
Data files: CML files, CSV data, Python scripts for CML
Snapshots: No snapshots
Zip-file with Python module used to calculate trivariate statistics between the inhibition of parasitic target enzymes pteridine reductase 1 and dihydrofolate reductase and the corresponding inhibition of T. brucei brucei bloodstream forms. The script makes use of an expansion of pairwise Pearson or Spearman correlations. For further details, also refer to the README file.
Creators: Ina Poehner, Rebecca Wade
Submitter: Ina Poehner
Zip file with Python module used to correlate compound descriptors predicted with Schroedinger QikProp with observed anti-parasitic effect against T. brucei brucei bloodstream forms. The script allows a leave-one-out analysis in addition to the default correlation analysis, where data for each compound is skipped once before the correlation analysis is re-performed. An example config file is provided with the zip-archive. For further instructions and information on the available settings, also ...
Creators: Ina Poehner, Rebecca Wade
Submitter: Ina Poehner
Python script wrapping up (executing) all the steps of the workflow the user enters in it. Together with "names.py" this script requires input files to be located in a folder called "input" in the same directory.
Creators: Gudrun Gygli, Juergen Pleiss, Xinmeng Xu
Submitter: Gudrun Gygli
Investigations: Deep Eutectic Solvents
Studies: Meta-analysis of viscosity of aqueous deep eute...
Assays: VFT and Arrhenius Modelling
Python script allowing the user to define the names of the input files to be used. Together with "wrapper.py" this script requires input files to be located in a folder called "input" in the same directory.
Creators: Gudrun Gygli, Juergen Pleiss, Xinmeng Xu
Submitter: Gudrun Gygli
Investigations: Deep Eutectic Solvents
Studies: Meta-analysis of viscosity of aqueous deep eute...
Assays: VFT and Arrhenius Modelling
Python workflow for the analysis of ITC-BIND, ITC-MIM and ITC-(r)SIM experiments. Organized in a *.zip folder. Requires the following directory structure:
./ITC_analysis.py ./input/BINDING/.apj ./input/BINDING/.csv ./input/KINETICS/.apj ./input/KINETICS/.csv ./scripts/binding_neu.py ./scripts/kinetics_neu.py
And can be executed by running python ITC_analysis.py in the directory. Filenames for the input *.apj and *.csv files are defined in ITC_analysis.py. The output directory is written by ...
Creator: Gudrun Gygli
Submitter: Gudrun Gygli
Instructions and details on the data analysis workflow.
Creators: Gudrun Gygli, Juergen Pleiss, Xinmeng Xu
Submitter: Gudrun Gygli
Investigations: Deep Eutectic Solvents
Studies: Meta-analysis of viscosity of aqueous deep eute...
Assays: VFT and Arrhenius Modelling
Master Bash script to launch Molecular Dynamics when running the Analysis part of Simulation Foundry. Make sure you followed "Preparations" instructions! Read the Manual!
Creator: Gudrun Gygli
Submitter: Gudrun Gygli
Investigations: 1 hidden item
Studies: Simulation Foundry for Methanol-Water Mixtures
Assays: Analysis Version 1.5
Master Bash script to launch Molecular Dynamics when running the Simulation part of Simulation Foundry. Make sure you followed "Preparations" instructions! Read the Manual!
Creator: Gudrun Gygli
Submitter: Gudrun Gygli
Investigations: 1 hidden item
Studies: Simulation Foundry for Methanol-Water Mixtures
Assays: Simulation Version 1.5
Abstract (Expand)
Authors: Marko Petek, Maja Zagorščak, Živa Ramšak, Sheri Sanders, Elizabeth Tseng, Mohamed Zouine, Anna Coll, Kristina Gruden
Date Published: No date defined
Publication Type: Not specified
DOI: 10.1101/845818
Citation: Cultivar-specific transcriptome and pan-transcriptome reconstruction of tetraploid potato
Scripts and Input Files for Analysis V1.5
Creator: Gudrun Gygli
Submitter: Gudrun Gygli
Investigations: 1 hidden item
Studies: Simulation Foundry for Methanol-Water Mixtures
Assays: Analysis Version 1.5
Scripts and Input Files for Simulation V1.5
Creator: Gudrun Gygli
Submitter: Gudrun Gygli
Investigations: 1 hidden item
Studies: Simulation Foundry for Methanol-Water Mixtures
Assays: Simulation Version 1.5