The computational prediction of alternative splicing from high-throughput sequencing data is inherently difficult and necessitates robust statistical measures because the differential splicing signal is overlaid by influencing factors such as gene expression differences and simultaneous expression of multiple isoforms amongst ...
Read More »A survey of software for genome-wide discovery of differential splicing in RNA-Seq data
Alternative splicing is a major contributor to cellular diversity. Therefore the identification and quantification of differentially spliced transcripts in genome-wide transcript analysis is an important consideration. Here, JE Hooper reviews the software available for analysis of RNA-Seq data for differential ...
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