Comparison of mouse tissues across developmental stages
Project name: 'Morgen'
EnsEMBL version: 54
UCSC build: mm9
ALEXA-Seq database: mm_54_37g
Species: Mus_musculus (Mouse)
Lanes of data analysed: 47
Library count: 7
Comparisons defined: 5
Library statistics (link to library summary):
Download package of all results files: Morgen_ResultFiles.tar.gz
View candidate gene lists for each comparison (DE+AE genes, AE genes only, Gains only, Losses only):
View candidate peptide lists (peptides corresponding to: junction gains, junction losses, exon+junction gains, exon+junction losses):
Summary of expressed, differentially expressed and alternatively expressed features:
The following table summarizes the expression, differential expression and alternative expression of each feature type (exons, junctions, introns, etc.) for all EnsEMBL loci. It does this by providing links to lists of: the most highly abundant expressed (EXP) features, all significant differentially expressed (DE) features and all significant alternatively expressed (AE) features. Click on an icon to view these lists for the desired feature type. The number of features is enumerated beneath each icon. Note that for EXP tables, only the top 1% of expressed features will be summarized. Example 1: to see the most highly expressed exons in each library, click the 'EXP' icon in the 'ExonRegion' row of the table. Example 2: to view a ranked list of significant differentially expressed transcripts, click the 'DE' icon in the 'Transcript row of the table. Example 3: to view a ranked list of alternatively expressed, novel exon-exon junctions click the 'AE' icon in the 'NovelJunction' row of the table. For a detailed description of the feature types and how the ALEXA-Seq data viewer works, refer to our manuscript. Note that AE and DE events are summarized individually for each feature type. Since alternative expression is determined relative to gene level expression, the AE analysis is not applicable (N/A) for the gene and intergenic feature rows of this table. To view data for a specific gene, use the 'SEARCH' link above.