The CEU dataset was generated by analyzing the allele-specific alternative splicing events in the GEUVADIS CEU data. Allele-specific reads were mapped onto alternative splicing events using rPGA (version 2.0.0). Then the allele-specific bam files mapped onto the two haplotypes are merged together to detect alternative splicing events using rMATS (version 3.2.5)16.
The LUSC dataset was generated by analyzing the tumor versus adjacent control samples from TCGA LUSC RNA-seq data.
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The dataset has 7 columns, arranged as follows:
Column 1 contains the ID of the alternative splicing events.
Column 2 contains counts of isoform 1 corresponding to the first group.
Column 3 contains counts of isoform 2 corresponding to the first group.
Column 4 contains counts of isoform 1 corresponding to the second group.
Column 5 contains counts of isoform 2 corresponding to the second group.
Column 6 contains the effective length of isoform 1.
Column 7 contains the effective length of isoform 2.
The dataset has 7 columns, arranged as follows:
Column 1 contains the ID of the alternative splicing events.
Column 2 contains counts of isoform 1 corresponding to the first group.
Column 3 contains counts of isoform 2 corresponding to the first group.
Column 4 contains counts of isoform 1 corresponding to the second group.
Column 5 contains counts of isoform 2 corresponding to the second group.
Column 6 contains the effective length of isoform 1.
Column 7 contains the effective length of isoform 2.
The dataset has 7 columns, arranged as follows:
Column 1 contains the ID of the alternative splicing events.
Column 2 contains counts of isoform 1 corresponding to the first group.
Column 3 contains counts of isoform 2 corresponding to the first group.
Column 4 contains counts of isoform 1 corresponding to the second group.
Column 5 contains counts of isoform 2 corresponding to the second group.
Column 6 contains the effective length of isoform 1.
Column 7 contains the effective length of isoform 2.
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