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Picture of me (2)

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If you enter http://www.cs.man.ac.uk/~goderisa as input I smile back at you as output.

Created: 2007-10-03

Transcribe a DNA sequence into an RNA sequ... (2)

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This workflow transcribes a DNA sequence into an RNA sequence

Created: 2007-10-03 | Last updated: 2007-11-13

Microarray CEL file to candidate pathways (2)

This workflow takes in a CEL file and a normalisation method then returns a series of images/graphs which represent the same output obtained using the MADAT software package (MicroArray Data Analysis Tool) http://www.bioinf.manchester.ac.uk/MADAT/index.html. 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 ch...

Created: 2008-02-08 | Last updated: 2009-02-13

Credits: Paul Fisher Saeedeh

Human Microarray Analysis (1)

This workflow takes in probesets from and AffyMetrix  Affy HG U133A micorarray experiment and returns: genes ; gene start and end positions; chromosome where genes reside; ensembl trasncripts; SwissProt ids. The final output of the workflow is a list of candidate pathways which are linked to the genes expressed in the microarray data.   Example input for this workflow is: 212283_at 221634_at 220399_at  

Created: 2008-02-08 | Last updated: 2009-12-03

Credits: Paul Fisher

Pathways and Gene annotations for RefSeq ids (1)

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This workflow searches for genes which were found to be differentially expressed from a microarray study in the mouse, Mus musculus. The workflow requires an input of gene ref_seq identifiers. Data is then extracted from BioMart to annotate each of the genes found for each ref_seq id. The Entrez and UniProt identifiers are then sent to KEGG to obtain KEGG gene identifiers. The KEGG gene identifiers are then used to search for pathways in the KEGG pathway database.

Created: 2010-11-15 | Last updated: 2010-11-15

Credits: Paul Fisher

Mapping to ontologies (Gene table) (1)

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This workflow is designed to classify an input gene set to several ontologies and to identify terms, hits for which are overrepresented in the input set. The input file can be any gene or protein table.At the first step, the input table is converted into a table with Ensembl Gene IDs.This table with Ensembl Gene Ids is subjected to functional classification, which is done in parallel by the following ontologies: GO biological processes, GO cellular components, GO molecular functions, Reactome...

Created: 2013-11-13 | Last updated: 2015-04-17

Credits: geneXplain

Analyze any DNA sequence for site enrichment (1)

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This workflow is designed to reveal TFBS  enrichment in any DNA sequence.  As input, any sequence collection in FASTA, EMBL or GeneBank format can be used. Yes and No sequence sets can be specified in the corresponding input fields.  As input, DNA sequences of any organisms and from any genome regions can be taken.At the first step Yes and No sequences are subjected to Site search on track analysis using the profile of positional weight matrices specified in the input form. The...

Created: 2013-11-13 | Last updated: 2015-04-17

Credits: geneXplain

Analyze promoters (GTRD) (1)

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This workflow is designed to search for putative transcription factor binding sites, TFBS, on the promoters of an input gene set.As input, any gene or protein table can be submitted. The input table contains genes under study, and it is called “Yes” set.At the first step, the input table is converted into a table with Ensembl Gene IDs.At the next step, promoters are analyzed for potential cis-regulatory sites. Promoters in this workflow are defined as sequences from -1000 to +100 ...

Created: 2013-11-13 | Last updated: 2015-04-17

Credits: geneXplain