SysMO DB

SysMO is a European transnational funding and research initiative on "Systems Biology of Microorganisms".

The goal pursued by SysMO was to record and describe the dynamic molecular processes going on in unicellular microorganisms in a comprehensive way and to present these processes in the form of computerized mathematical models.

Systems biology will raise biomedical and biotechnological research to a new quality level and contribute markedly to progress in understanding. Pooling European research ...

Data integration is an essential part of Systems Biology. Scientists need to combine different sources of information in order to model biological systems, and relate those models to available experimental data for validation. Currently, only a small fraction of the data and models produced during Systems Biology investigations are deposited for reuse by the community, and only a smaller fraction of that data is standards compliant, semantic content. By embedding semantic technologies into familiar ...

Investigating oscillations at the level of yeast populations and individual cells

Here you will find guidelines for creating MIAPE compliant proteomics data files as well as examples and links to online tools and resources

Here you will find guidelines for creating MAGE-TAB compliant transcriptomics data files as well as examples and links to online tools and resources.

These templates can be used for a selection of metabolomics data types. There is a MASTER template for general use and adaptation as well as several more specific templates for particular types of experiment (e.g. HPLC), or specific assay types (e.g glucose pulse)

Dear SEEK users, this Assay is just an example Excel sheet for intracellular metabolites concentration measurements performed using cell culture growing in chemostat

Some generic examples of transcriptomics templates that conform to the MAGE-TAB specification. These templates were created and modified from templates produced by ArrayExpress and GEO. These templates are generic and non-specific for any particular array platform.

Some examples of proteomics templates for Mass Spectrometry data that conform to the MIAPE specification

This Excel template is the general (master) template for any type of metabolomics data. It can be used as it is, or extended and modified to create a more specific templates for particular technologies and assay types.

Some examples of transcriptomics templates for Affymetrix data that conform to the MAGE-TAB specification. These templates were taken from the GEO website (http://www.ncbi.nlm.nih.gov/geo/info/spreadsheet.html) and modified to conform to the SysMO-JERM (Just enough Results Model) for transcriptomics. Using these templates will mean easier submission to GEO/ArrayExpress and greater consistency of data in SEEK.

A example of an RT-PCR Excel template. RT-PCR is Reverse Transcriptase PCR (NOT to be confused with Real Time PCR, which is normally referred to as qPCR)

This template was taken from the GEO website (http://www.ncbi.nlm.nih.gov/geo/info/spreadsheet.html) and modified to conform to the SysMO-JERM (Just enough Results Model) for transcriptomics. Using templates will mean easier submission to public databases on publication and greater consistency of data in SEEK.

This Excel template is an example taken from the GEO web site (http://www.ncbi.nlm.nih.gov/geo/info/spreadsheet.html#GAtemplates) which has been modified to conform to the SysMO JERM (Just Enough Results Model). Using templates helps with searching and comparing data as well as making it easier to submit data to public repositories for publications.

Some examples of transcriptomics templates for NimbleGen data that conform to the MAGE-TAB specification. These templates were taken from the GEO website (http://www.ncbi.nlm.nih.gov/geo/info/spreadsheet.html) and modified to conform to the SysMO-JERM (Just enough Results Model) for transcriptomics. Using templates will mean easier submission to GEO/ArrayExpress upon publication and greater consistency of data in SEEK for easier searching and comparing.

Examples of proteomics templates for gele electrophoresis data that conform to the MIAPE-GE specification

Concentration of glycolytic intermediates over time

123

An example template for MAGE-TAB compliant transcriptomics data. This example only covers the Investigation Description Format (IDF) and the Sample and Data Relationship Format (SDRF) worksheets (i.e. the metadata from a microarray experiment). This template was generated automatically using the ArrayExpress submission help tool (http://www.ebi.ac.uk/cgi-bin/microarray/magetab.cgi)

An example of a JERM-compliant template for RT-PCR data

This template was taken from the GEO website (http://www.ncbi.nlm.nih.gov/geo/info/spreadsheet.html) and modified to conform to the SysMO-JERM (Just enough Results Model) for transcriptomics.

An example of a blank data sheet for Mass spectrometry data. This is not SysMO specific, but it is an example of MIAPE compliant data.

The shreadsheet contains macros to help you annotate your data with terms from controlled vocabularies and ontologies

Excel sheet template : concentrations of intracellular metabolites

This Excel template is the general (master) template for any type of metabolomics data. It can be used as it is, or extended and modified to create a more specific templates for particular technologies and assay types.

MIAPE based Gel Electrophoresis Data Entry Worksheet

Final version of the Agenda: All Hands PALs meeting on 21-22 of May 2012 in Warnemünde/Rostock.

Please fill in thistravel expense reimbursement report and send it together with original receipts to HITS

Meeting location map

This is an Excel template for Mass Spec data that contains all the necessary MIAPE metadata fields. It was derived from examples on the PRIDE website (PRoteomics IDEntifications database http://www.ebi.ac.uk/pride/)

An example of a completed data sheet for Mass spectrometry data. This is not SysMO specific, but it is an example of a MIAPE compliant data format taken from the PRIDE website (http://www.ebi.ac.uk/pride).

This template is a JERM compliant spreadsheet for use with gel electrophoresis data. It is in the style of the JERM MASTER template with worksheets for metadata, organism_sample, instrument and data. To conform to MIAPE-GE all worksheets are mandatory. A detailed description of MIAPE-GE is available from http://www.psidev.info/miape/MIAPE_GE_1_4.pdf

How to get to the hotel from rail station

This report gives an overview of the sessions and outcomes from the recent SEEK Users meeting in Berlin. Please see related 'Presentation' entries for related slides and supplementary material.

This Excel template is for use with affy transcriptomics data in Matrix table format. It was created from a template on the GEO web site (http://www.ncbi.nlm.nih.gov/geo/info/geo_affy.html) and modified to conform to the SysMO JERM for transcriptomics.

This Excel template is for use with affy Chip-chip data where the results of the primary analysis are reported in BAR and BED files. It was created from a template on the GEO web site (http://www.ncbi.nlm.nih.gov/geo/info/geo_affy.html) and modified to conform to the SysMO JERM for transcriptomics.

Using optical tweezers to position yeast cells in a microfluidic chamber, we were able to observe sustained oscillations in individual isolated cells. Using a detailed kinetic model for the cellular reactions, we simulated the heterogeneity in the response of the individual cells, assuming small differences in a single internal parameter. By operating at two different flow rates per experiment, we observe four of categories of cell behaviour. The present model (gustavsson4) predicts the steady-state ...

Using optical tweezers to position yeast cells in a microfluidic chamber, we were able to observe sustained oscillations in individual isolated cells. Using a detailed kinetic model for the cellular reactions, we simulated the heterogeneity in the response of the individual cells, assuming small differences in a single internal parameter. By operating at two different flow rates per experiment, we observe four of categories of cell behaviour. The present model (gustavsson1) predicts the limit ...

Using optical tweezers to position yeast cells in a microfluidic chamber, we were able to observe sustained oscillations in individual isolated cells. Using a detailed kinetic model for the cellular reactions, we simulated the heterogeneity in the response of the individual cells, assuming small differences in a single internal parameter. By operating at two different flow rates per experiment, we observe four of categories of cell behaviour. The present model (gustavsson2) predicts the damped ...

Using optical tweezers to position yeast cells in a microfluidic chamber, we were able to observe sustained oscillations in individual isolated cells. Using a detailed kinetic model for the cellular reactions, we simulated the heterogeneity in the response of the individual cells, assuming small differences in a single internal parameter. By operating at two different flow rates per experiment, we observe four of categories of cell behaviour. The present model (gustavsson3) predicts the steady-state ...

An existing detailed kinetic model for the steady-state behavior of yeast glycolysis was tested for its ability to simulate dynamic behavior. This model (dupreez1) is the basis kinetic model derived from that published by Teusink et al., 2000 (PMID: 10951190).

An existing detailed kinetic model for the steady-state behavior of yeast glycolysis was tested for its ability to simulate dynamic behavior. This model (dupreez2) is an oscillating version of the basis kinetic model (dupreez1) derived from that published by Teusink et al., 2000 (PMID: 10951190).

An existing detailed kinetic model for the steady-state behavior of yeast glycolysis was tested for its ability to simulate dynamic behavior. This model (dupreez3) is an oscillating version of the model published by Teusink et al., 2000 (PMID: 10951190), which describes data for glycolytic intermediates in oscillating yeast cultures reported by Richard et al., 1996 (PMID: 8813760).

An existing detailed kinetic model for the steady-state behavior of yeast glycolysis was tested for its ability to simulate dynamic behavior. This model (dupreez4) is an oscillating version of the model published by Teusink et al., 2000 (PMID: 10951190), which describes data for glycolytic intermediates in oscillating yeast cultures reported by Richard et al., 1996a (PMID: 8813760) as well as the rapid synchronization following the mixing of two yeast cultures that oscillate 180 degrees out of ...

An existing detailed kinetic model for the steady-state behavior of yeast glycolysis was tested for its ability to simulate dynamic behavior. This model (dupreez5) is an oscillating version of the model published by Teusink et al., 2000 (PMID: 10951190), which describes the amplitude bifurcation of oscillating yeast cultures in a CSTR setup reported by Hynne et al., 2001 (PMID: 11744196).

An existing detailed kinetic model for the steady-state behavior of yeast glycolysis was tested for its ability to simulate dynamic behavior. This model (dupreez6) is an oscillating version of the model published by Teusink et al., 2000 (PMID: 10951190), which describes data for glycolytic intermediates in cell free extracts of oscillating yeast cultures reported by Das and Busse, 1991 (PMCID: 1260073).

An existing detailed kinetic model for the steady-state behavior of yeast glycolysis was tested for its ability to simulate dynamic behavior. This model (dupreez7) is an oscillating version of the model published by Teusink et al., 2000 (PMID: 10951190), which describes the fluorescence signal of NADH in oscillating yeast cultures reported by Nielsen et al., 1998 (PMID: 17029704).

Quorum sensing(QS) allows the bacteria to monitor their surroundings and the size of their population. Staphylococcus aureus makes use of QS to regulate the production of virulence factors. This mathematical model of the QS system in S aureus was presented and analyzed (Journal of Mathematical Biology(2010) 61:17–54) in order to clarify the roles of the distinct interactions that make up the QS process, demonstrating which reactions dominate the behaviour of the system at various timepoints. ...

An ODE model representing the metabolic network governing acid and solvent production by Clostridium acetobutylicum (Haus et al. BMC Systems Biology 2011, 5:10), incorporating the effect of pH upon gene regulation and subsequent end-product levels. This model describes the third of four experiments in which the pH of the culture was shifted. For this experiment acidogenesis at pH 5.7 was maintained for 121 hours, after which the pH control was stopped, allowing the natural metabolic shift to the ...

An ODE model representing the metabolic network governing acid and solvent production by Clostridium acetobutylicum (Haus et al. BMC Systems Biology 2011, 5:10), incorporating the effect of pH upon gene regulation and subsequent end-product levels. This model describes the last of four experiments in which the pH of the culture was shifted. For this experiment the pH shift was reversed compared to the first three (shift from pH 4.5 to 5.7), with the pH control switched off after 129 hours. ...

An ODE model representing the metabolic network governing acid and solvent production by Clostridium acetobutylicum (Haus et al. BMC Systems Biology 2011, 5:10), incorporating the effect of pH upon gene regulation and subsequent end-product levels. This model describes the second of four experiments in which the pH of the culture was shifted. For this experiment acidogenesis at pH 5.7 was maintained for 137.5 hours, after which the pH control was stopped, allowing the natural metabolic shift to ...

An ODE model representing the metabolic network governing acid and solvent production by Clostridium acetobutylicum (Haus et al. BMC Systems Biology 2011, 5:10), incorporating the effect of pH upon gene regulation and subsequent end-product levels. This model describes the first of four experiments in which the pH of the culture was shifted. For this experiment acidogenesis at pH 5.7 was maintained for 137 hours, after which the pH control was stopped, allowing the natural metabolic shift to the ...

Bacillus subtilis cells may opt to forgo normal cell division and instead form spores if subjected to certain environmental stimuli, for example nutrient deficiency or extreme temperature. The gene regulation net-work governing sporulation initiation accordingly incorporates a variety of signals and is of significant complexity. The present model (Bulletin of Mathematical Biology (2011) 73:181–211) includes four of these signals: nutrient levels, DNA damage, the products of the competence genes, ...

An overview of creating MAGE-TAB compliant spreadsheets for transcriptomics data in SysMO SEEK

The procedure describes the preparation of fluorescent DNA probes from human mRNA or total RNA.

Written Standard Operating Procedures provide workers with the operational information necessary to perform a job properly and ensure consistency in the operations. Standard Operating Procedures provide a historical record of steps in the how, why and when and serve as a training tool for teaching users.

MIAPE (Minimum Information About a Proteomics Experiment) is the recommended format for proteomics data in SysMO-SEEK. The document attached provides more information and links to tools and resources.

The second half of the overview of recent SEEK updates presented and discussed at the PALS meeting in Paris 2013. It is mostly covering infrastructure changes and also the addition of ORCID (http://orcid.org) support.

Carole Goble's KeyNote talk at the 9th Intl Symp on Integrative Bioinformatics 2013 from the 20th Martch 2013

An overview of the JWS Online system, with emphasis on the latest model simulation interface and an update on the SBGN-ML and SED-ML support currently under development.

SEEK presentation at COMBINE meeting on 18th of August (by Olga Krebs)

Keynote presentation by Professor Carole Goble at BOSC (Bioinformatics Open Source Conference) Long Beach, California, USA, July 14 2012. Co-located with ISMB, Intelligent Systems in Molecular Biology

Also available on slideshare at http://www.slideshare.net/mygrid/if-we-build-it-will-they-come-13652794

Presentation by Carole Goble at the International Semantic Web Conference 2013 in Sydney Australia about the use of semantic web technology in SEEK and RightField.

Introduction to RightField and Demo were presented at the Virtual Liver Network PALs meeting on 31st of October in Hünfeld, Germany

Talk given by Olga Krebs at SysMO PALs meeting on 18 - 20 September 2013 in Paris

Katy Wolstencroft's talk at the "3rd Eagle Genomics Symposium:Will Big Data and Bigger Cuts Cripple Bioinformatics?", presented on 21st March 2013.

http://www.eaglegenomics.com/2013/01/eagles-third-symposium-how-the-efficient-bioinformatician-reduces-rd-costs/

The talk presented by Carole Goble and Wolfgang Mueller at the SysMO evaluation conference 2013 in Berlin.

Presented by MARTIN SCHARM at SySMO PALs meeting 29-30 November 2012 in Heidelberg

An overview of the RDF work being done with SEEK, given at the PALs meeting, November 2012. It gives a high level explanation of what RDF is, why its useful and can be used for filtering and finding out information about the data in SEEK. This talk proceeded an interactive session where the PALs came up with 20 questions, to help us refine our model and prioritise what we describe.

This document is a summary of the SysMO-DB PALs meeting on the 29-30 November 2012

Issues and considerations for data management as SysMO projects approach the end of their funding

Presented by Ron Henkel at SySMO PALs meeting 29-30 November 2012 in Heidelberg

This talk was presented at the IEEE e-Science conference, Chicago, USA (8-12 October 2012). http://www.ci.uchicago.edu/escience2012/ It describes the latest developments in RightField for both semantic data annotation and extraction to RDF.

Presented by Tobias Czauderna from Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) in Gatersleben at the SysMO PALs Meeting Heidelberg,29-11-2012

Olga's presentation at SySMO PALs meeting 29 – 30 November 2012, Heidelberg

Systems Biology is one of the most prominent newly emerging interdisciplinary science areas. By connecting fields such as genomics, proteomics, cell biology, medicine, molecular biology, biochemistry and genetics, with mathematics, bioinformatics, engineering and computation, it enables discovery of yet unknown principles underlying the functioning of living cells. At the same time testable and predictive models of complex cellular pathways and eventually of whole cells are generated, which are ...

7th All hands PALs + SEEK users meeting will be co-located with Computational Modeling in Biology Network (COMBINE) meeting taking place from 16th to 20th of September 2013 in Paris. COMBINE is an initiative to coordinate the development of the various community standards and formats, details to meeting agenda and location here: http://mbine.org/events/COMBINE_2013

We plan to arrive on Wednesday, 18th, to participate in COMBINE on Thursday and Friday morning, and to have PALs- only sessions on ...

The next All Hands PALs meeting will take place on Thursday 29th and Friday 30th November 2012 in Heidelberg. The meeting will start on Thursday morning (arriving in Heidelberg on Wednesday evening), and finishing after lunch on Friday, so that you can get to home before weekend starts.

Meeting agenda

Thursday 29th November 9:15 Arriving at HITS 9:30 – 10:00 Introduction to PALs meeting 10:00 – 10:45 Review of new SEEK features. 10:45 – 11:00 Coffee break 11:00 – 12:00 An update on SEEK BioSamples ...

We've presented SEEK at the ICSB / PLATFORM Computational Tools and Algorithms on 20th of August 2012 in Toronto, Canada

The third annual COMBINE meeting took place at The Donnelly Centre building at the University of Toronto from Wednesday August 15 through Sunday Aug. 19, 2012

The 5th annual All Hands PALs meeting will take place on 21-22 of May 2012 in Rostock/Warnemünde. The main purpose of the meeting is to update the PALs on the latest developments in SysMO-SEEK and to identify new features and priorities arrising from work in the SysMO projects .

Meeting agenda:

Monday 21st of May

Morning - What's new in SEEK 9:15 – 9:45 Arrival, Introduction and welcome to new people (Wolfgang) 9:45 – 10:45 New features in SEEK & Roles (Stuart) 10:45 – 11:15 Coffee break 11:15 ...

The next SySMO SEEK users meeting will be held in Berlin on March 26-27 2012. Since our last users workshop focused on modeling issues, this one will focus on experimental data and its linking to models. Meeting info is also available at our web page details here http://www.sysmo-db.org/node/53. Detailed agenda can be downloaded here https://seek.sysmo-db.org/data_files/937

Meeting will take place at the Beuth Hochschule für Technik Berlin http://www.beuth-hochschule.de/1654/, accomodation hotel ...

Agenda Saturday 27th August

9:15 Pick up from Hotelo hotel 9:30 – 10:00 Arrive at HITS, coffee 10:00 – 10:15 Introduction 10:15 – 11:45 Lightning Talks by PALS and SysMO-DB team *(for details see Introduction to Lightning Talks and ISBE session at PALs meeting on 27th of August in Heidelberg associated to this event http://seek.sysmo-db.org/data_files/902 ) 11:45 – 12:15 Coffee break 12: 15 – 13:00 Review of new SEEK features (presentation available as data file associated to this event here ...