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Items tagged with "systems biology" (17)

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Files (2)
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Blob ONDEX Graph from the Yeast Jamboree SBML

Created: 2009-02-10 10:51:58 | Last updated: 2009-02-10 12:48:52

Credits: User Paul Dobson

License: Creative Commons Attribution-Share Alike 3.0 Unported License

The oxl file represents in ONDEX the SBML reconstruction of yeast metabolism produced in the "Jamboree", as described in the following paper.   PMID 18846089 A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology. Nature Biotechnology. 2008 Oct;26(10):1155-60. Herrgård MJ, Swainston N, Dobson P, Dunn WB, Arga KY, Arvas M, Blüthgen N, Borger S, Costenoble R, Heinemann M, Hucka M, Le Novère N, Li P, Lieb...

File type: GNU Zip Archive

Comments: 0 | Viewed: 612 times | Downloaded: 49 times

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Blob EraSysBio Summer School Taverna Tutorial

Created: 2009-07-24 21:54:27

Credits: User Katy Wolstencroft

License: Creative Commons Attribution-Share Alike 3.0 Unported License

This tutorial is an introduction to Taverna and myExperiment

File type: application/mspowerpoint

Comments: 0 | Viewed: 41 times | Downloaded: 52 times

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Groups (2)

Network-member SyMBA: Systems and Molecular Biology Data ...

Unique name: symba
Created: Wednesday 12 September 2007 11:30:41 (UTC)

SyMBA was originally developed to be a high-throughput data archive for the data created at CISBAN at Newcastle University, but is now a project applicable for many in the biology & bioinformatics community. New developers are always welcome. SyMBA is a data and metadata archive that is based on the Functional Genomics Object Model(FuGE) and which archives, stores, and retrieves raw high-t...

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Network-member EraSysBio_Tutorial


Created: Wednesday 30 July 2008 12:07:11 (UTC)

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Packs (2)

Pack useful_for_sysmo


Created: 2008-12-17 12:31:48 | Last updated: 2009-06-10 09:43:20

These workflows have been collected as potentially useful protocols for the sysmo consortium

21 items in this pack

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Pack Mapping Metabolites for Metabolic Network Reconstruc...


Created: 2010-06-03 11:43:43 | Last updated: 2010-06-03 11:47:16

The process of metabolic network reconstructions typically begins with the task of collating existing information. For metabolites this poses a relatively straight forward set of cheminformatics problems. These problems include finding identical structures across sources, which is trivial, but also structures that differ due to idiosyncrasies of the sources or annotators. This includes charge differences, varying stereochemistry, tautomers, and so forth. Workflows in this pack allow sets of ...

6 items in this pack

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Workflows (11)

Workflow C1 Combined Workflow (1)

The process of metabolic network reconstructions typically begins with the task of collating existing information. For metabolites this poses a relatively straight forward set of cheminformatics problems. This workflow implements matching algorithms M1-M5 in one workflow, yielding a sparse matrix of matches annotated by match types.

Created: 2010-06-03 | Last updated: 2010-06-03

Credits: User Paul Dobson

Workflow M1 Exact Matching (1)

The process of metabolic network reconstructions typically begins with the task of collating existing information. For metabolites this poses a relatively straight forward set of cheminformatics problems. This workflow implements matching algorithm M1 which matches fully specified molecules on the basis of their canonical representations.

Created: 2010-06-03

Credits: User Paul Dobson

Workflow M2 Similarity Matching (1)

The process of metabolic network reconstructions typically begins with the task of collating existing information. For metabolites this poses a relatively straight forward set of cheminformatics problems. This workflow implements matching algorithm M2 which reads molecules from two sources and produces clusters of highly similar molecules.

Created: 2010-06-03

Credits: User Paul Dobson

Workflow M3 Non-stereo Matching (1)

The process of metabolic network reconstructions typically begins with the task of collating existing information. For metabolites this poses a relatively straight forward set of cheminformatics problems. This workflow implements matching algorithm M3 which strips stereochemical information from molecules, performs exact matching, and restores stereochemistry.

Created: 2010-06-03

Credits: User Paul Dobson

Workflow M4 Tautomer Matching (1)

The process of metabolic network reconstructions typically begins with the task of collating existing information. For metabolites this poses a relatively straight forward set of cheminformatics problems. This workflow implements matching algorithm M4 which generates canonical tautomers prior to matching, matches, then restores original structures.

Created: 2010-06-03

Credits: User Paul Dobson

Workflow M5 Charge Matching (1)

The process of metabolic network reconstructions typically begins with the task of collating existing information. For metabolites this poses a relatively straight forward set of cheminformatics problems. This workflow implements matching algorithm M5 which ionises molecules at pH 7 prior to matching, restores original structures.

Created: 2010-06-03

Credits: User Paul Dobson

Workflow getSynonymsFromSBML (1)

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This service takes an SBML file (for example from the Biomodels database) and extracts synonyms for each of the SBML species in the file, using ChEBI. Service is written and maintained by Neil Swainston at the MCISB.

Created: 2009-06-09 | Last updated: 2009-06-09

Credits: User Duncan Hull

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Workflow Escherichia coli : From cDNA Microarray Ra... (1)

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This workflow takes in a CDNA raw file and a normalisation method then returns a series of images/graphs which represent the same output obtained using the R and bioconductor. Also retruned by this workflow are a list of the top differentialy expressed genes (size dependant on the number specified as input - geneNumber), which are then used to find the candidate pathways which may be influencing the observed changes in the microarray data. By identifying the candidate pathways, more detailed...

Created: 2008-05-08 | Last updated: 2008-05-12

Credits: User Saeedeh User Paul Fisher

Attributions: Workflow HUMAN Microarray CEL file to candidate pathways

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Workflow Identification of differential genes using... (2)

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This workflow starts by retrieving the names of microarray datasets from the Maxd database. The user has to select sets of control and test data for analysis using t-tests by R. A list of significant differentially expressed genes is then analysed using the Go Term Finder tool which generates a list of GO terms associated with the genes. A CSV file containing the list of significant genes is also generated.

Created: 2008-04-15 | Last updated: 2008-07-01

Credits: User Peter Li

Workflow getInchIfromMassBankPeaklist_ChemSpider_wo... (2)

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uses InChI's retrieved from a MassBank peaklist query to get compound information about those compounds via querying ChemSpider for information and displaying those results with image

Created: 2008-06-05 | Last updated: 2008-06-16

Credits: User Michael Gerlich

Workflow RetroPath2.0 - a retrosynthesis workflow w... (8)

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The RetroPath2.0 workflow build a reaction network from a set of source compounds to a set of sink compounds.When applied in a retrosynthetic fashion, the source is composed of the target compounds and the sink is composed of the available reactants (for instance in the context of metabolic engineering the sink is the set of native metabolites of a chassis strain). From amongst all the chemical reactions generated using RetroPath2.0 (in the retrosynthetic way), only a subset may eff...

Created: 2017-05-24 | Last updated: 2018-10-11

Credits: User Baudoin Delépine Network-member BioRetroSynth

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Non-Information Resource URI: http://www.myexperiment.org/tags/685


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