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MCL coexpression mm9:1916: Difference between revisions

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{{MCL_coexpression_mm9
{{MCL_coexpression_mm9
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|gostat_on_MCL_coexpression=GO:0005094;Rho GDP-dissociation inhibitor activity;0.00821692672136646;192662!GO:0005092;GDP-dissociation inhibitor activity;0.00821692672136646;192662!GO:0001772;immunological synapse;0.021902799739109;192662!
|gostat_on_MCL_coexpression=GO:0005094;Rho GDP-dissociation inhibitor activity;0.00821692672136646;192662!GO:0005092;GDP-dissociation inhibitor activity;0.00821692672136646;192662!GO:0001772;immunological synapse;0.021902799739109;192662!
}}
}}

Revision as of 13:04, 11 October 2012


Phase1 CAGE Peaks

 Short description
Mm9::chr10:79783251..79783298,-p1@2310011J03Rik
Mm9::chr11:120442867..120442946,-p1@Arhgdia
Mm9::chr19:4148616..4148666,+p1@Coro1b
Mm9::chr2:121275098..121275129,+p1@Gm12481
p1@Serf2


Enriched pathways on this co-expression cluster<b>Summary:</b><br>Canonical pathway gene sets were compiled from Reactome, Wikipathways and KEGG. For the major signaling pathways, the transcriptionally-regulated genes (downstream targets) were obtained from Netpath. Combined, the canonical pathways and downstream targets totaled 489 human gene sets. The corresponding M. musculus gene sets were inferred by homology using the HomoloGene database. Enrichment for each of the canonical 489 pathways and gene sets included in the co-expression cluster was assessed by the hypergeometric probability. The resulting P values were also then adjusted by the Benjamini-Hochberg method for multiple comparisons.<br><b>Analyst: </b>Emmanuel Dimont<br><br>link to source dataset<br>data


GO IDGO nameFDR corrected p-value
GO:0005094Rho GDP-dissociation inhibitor activity0.00821692672136646
GO:0005092GDP-dissociation inhibitor activity0.00821692672136646
GO:0001772immunological synapse0.021902799739109



Relative expression of the co-expression cluster over median <br>Analyst:





Enriched sample ontology terms on this co-expression cluster<b>Summary:</b>To summarize promoter activities (expression profile of a TSS region) across ~1000 samples, we performed enrichment analysis based on FANTOM5 Sample Ontology (FF ontology). The question here is “in which type of samples the promoter is more active”. To answer this question, we compared expressions (TPMs) in the samples associated with a sample ontology term and the rest of the samples by using the Mann-Whitney rank sum test. To summarize ontologies enriched in this co-expression cluster, we ran the same analysis on an averaged expression profile of all promoters that make up. <b>Analyst:</b> Hideya Kawaji <br><br>links to source dataset<br><br>cell_data<br>uberon_data<br>disease_data<br>


Cell Type
Ontology termp-valuen

Uber Anatomy
Ontology termp-valuen

Disease
Ontology termp-valuen


TFBS overrepresentation<b>Summary:</b>The values shown are the p-values for overrepresentation of the motif in this coexpression cluster. So a small p-value means a strong overrepresentation. <b>Analyst:</b> Michiel de Hoon <br><br>link to source data <br> Novel motifs <br>data <br><br> Jaspar motifs <br>data


Novel motifs




JASPAR motifs


Motifs-log10(p-value)

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