Detection of differential transcript usage (DTU) from RNA-seq data is an important bioinformatic analysis that complements differential gene expression analysis. Researchers at the University of North Carolina at Chapel Hill have developed a simple workflow...
Read More »Gene-level false discovery rate control for transcript-level analysis and complex RNA-seq experiments
The aim of may RNA-seq studies is differential expression (DE) analysis between conditions of interest. The decreasing cost of sequencing has allowed for complex experimental designs, involving many samples over multiple conditions. Additionally, novel computational methods allow accurate estimation of transcript ...
Read More »Isoform prefiltering improves performance of count-based methods for analysis of differential transcript usage
RNA-seq has been a boon to the quantitative analysis of transcriptomes. A notable application is the detection of changes in transcript usage between experimental conditions. For example, discovery of pathological alternative splicing may allow the development of new treatments or ...
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