Terminus enables the discovery of data-driven, robust transcript groups from RNA-seq data.

ABSTRACT:

Motivation

Advances in sequencing technology, inference algorithms and differential testing methodology have enabled transcript-level analysis of RNA-seq data. Yet, the inherent inferential uncertainty in transcript-level abundance estimation, even among the most accurate approaches, means that robust transcript-level analysis often remains a challenge. Conversely, gene-level analysis remains a common and robust approach for understanding RNA-seq data, but it coarsens the resulting analysis to the level of genes, even if the data strongly support specific transcript-level effects.

Results

We introduce a new data-driven approach for grouping together transcripts in an experiment based on their inferential uncertainty. Transcripts that share large numbers of ambiguously-mappin

SUBMITTER: Sarkar H 

PROVIDER: S-EPMC7355257 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature