StringTie
StringTie assembles and quantifies full-length transcripts from RNA-Seq alignments to reconstruct transcriptomes and estimate gene expression levels.
Key Features:
- Network Flow Algorithm: Uses a novel network flow algorithm (from optimization theory) to optimize transcript assembly from RNA-Seq alignments.
- Optional De Novo Assembly: Includes an optional de novo assembly step to recover transcripts beyond those represented in the input alignments.
- Comprehensive Transcriptome Reconstruction: Demonstrated superior reconstruction compared with Cufflinks, IsoLasso, Scripture, and Traph; for example, assembled 10,990 transcripts from a human blood dataset of 90 million reads, a 53% increase over Cufflinks.
- Accuracy in Expression Level Estimation: Provides more accurate gene and transcript expression level estimates relative to other assemblers.
- Performance Efficiency: Runs faster than other assembly software on tested datasets.
Scientific Applications:
- Genomics: Applied to detailed transcriptome analysis in genomics for reconstruction and annotation of transcripts.
- Molecular Biology: Used to investigate complex gene expression patterns and alternative splicing events in molecular biology studies.
- Personalized Medicine: Employed for transcript-level expression profiling and novel transcript discovery relevant to personalized medicine.
Methodology:
Implements a network flow algorithm on RNA-Seq alignments with an optional de novo assembly step and has been evaluated on simulated and real datasets.
Topics
Collections
Details
- License:
- Artistic-2.0
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- C++, C
- Added:
- 8/20/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Pertea M, Pertea GM, Antonescu CM, Chang T, Mendell JT, Salzberg SL. StringTie enables improved reconstruction of a transcriptome from RNA-seq reads. Nature Biotechnology. 2015;33(3):290-295. doi:10.1038/nbt.3122. PMID:25690850. PMCID:PMC4643835.
Documentation
Links
Repository
https://github.com/gpertea/stringtieIssue tracker
https://github.com/gpertea/stringtie/issues