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SplicingFactory—splicing diversity analysis for transcriptome data
Author(s) -
Benedek Dankó,
Péter Szikora,
Tamás Pór,
Alexa Szeifert,
Endre Sebestyén
Publication year - 2021
Publication title -
bioinformatics
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btab648
Subject(s) - transcriptome , diversity (politics) , rna splicing , computational biology , alternative splicing , computer science , biology , data mining , genetics , gene , exon , gene expression , political science , law , rna
Alternative splicing contributes to the diversity of RNA found in biological samples. Current tools investigating patterns of alternative splicing check for coordinated changes in the expression or relative ratio of RNA isoforms where specific isoforms are up- or down-regulated in a condition. However, the molecular process of splicing is stochastic and changes in RNA isoform diversity for a gene might arise between samples or conditions. A specific condition can be dominated by a single isoform, while multiple isoforms with similar expression levels can be present in a different condition. These changes might be the result of mutations, drug treatments or differences in the cellular or tissue environment. Here, we present a tool for the characterization and analysis of RNA isoform diversity using isoform level expression measurements.

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