IUTA
IUTA detects differential isoform usage in RNA-Seq data to characterize alternative splicing at the transcript level.
Key Features:
- Comprehensive isoform testing: Tests each gene genome-wide for differential isoform usage between two groups of samples.
- Isoform fraction assessment: Assesses differences in the fraction of total expression represented by each isoform within a gene.
- Statistical framework (Aitchison geometry): Formulates the testing problem as evaluation of equal means for two probability distributions under Aitchison geometry for compositional data.
- Performance versus Cuffdiff2: On simulated data, provides test results for substantially more genes and shows superior detection where both methods report results compared to Cuffdiff2 (version 2.2.0).
- Application to real RNA-Seq data: Identified 2,073 significant genes with differential isoform usage when applied to mouse RNA-Seq datasets from six tissues.
- Implementation: Implemented as an R package.
Scientific Applications:
- Alternative splicing studies: Characterizes transcript-level changes driven by alternative splicing across conditions or tissues.
- Isoform-specific expression analysis: Enables analysis of isoform-level expression patterns to investigate regulation at the transcript level.
- Development and disease research: Supports investigation of roles of alternative transcripts in cell development and disease contexts.
- Large-scale RNA-Seq analyses: Applicable to large RNA-Seq datasets for genome-wide isoform usage profiling.
Methodology:
Represents isoform expression as compositional vectors of isoform fractions per gene, performs per-gene differential testing between two groups by evaluating equal means for two probability distributions under Aitchison geometry, implemented in R.
Topics
Details
- License:
- GPL-2.0
- Tool Type:
- library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 5/6/2018
- Last Updated:
- 12/10/2018
Operations
Publications
Niu L, Huang W, Umbach DM, Li L. IUTA: a tool for effectively detecting differential isoform usage from RNA-Seq data. BMC Genomics. 2014;15(1). doi:10.1186/1471-2164-15-862. PMID:25283306. PMCID:PMC4195885.