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MCL coexpression mm9:1074: Difference between revisions

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{{MCL_coexpression_mm9
{{MCL_coexpression_mm9
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|gostat_on_MCL_coexpression=GO:0008538;proteasome activator activity;0.0377937211406515;19188!GO:0008537;proteasome activator complex;0.0377937211406515;19188!
|gostat_on_MCL_coexpression=GO:0008538;proteasome activator activity;0.0377937211406515;19188!GO:0008537;proteasome activator complex;0.0377937211406515;19188!
}}
}}

Revision as of 12:51, 11 October 2012


Phase1 CAGE Peaks

 Short description
Mm9::chr11:48759650..48759652,-p8@Psme2
Mm9::chr11:83391998..83392010,-p1@Ccl9
Mm9::chr12:112680864..112680880,+p1@Tnfaip2
Mm9::chr19:11124903..11124923,-p1@AW112010
Mm9::chr19:11124926..11124931,-p2@AW112010
Mm9::chr2:26883436..26883515,-p1@Slc2a6
Mm9::chr3:127483168..127483206,-p2@Alpk1


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:0008538proteasome activator activity0.0377937211406515
GO:0008537proteasome activator complex0.0377937211406515



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)

{{{tfbs_overrepresentation_jaspar}}}

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