TGStools
TGStools enables comprehensive analysis of transcriptomes from long-read third-generation sequencing by characterizing full-length transcripts, detecting alternative splicing (including shifted types), identifying long noncoding RNAs (lncRNAs), and prioritizing transcripts through integration of annotation with genomic features.
Key Features:
- Full-length transcript characterization: Accurately characterizes full-length transcripts from long-read sequencing data to resolve transcript isoforms.
- Alternative splicing detection: Detects various alternative splicing events, explicitly including shifted splicing types that can be missed by traditional methods.
- lncRNA identification: Identifies long noncoding RNAs (lncRNAs) within the transcriptome.
- Transcript prioritization and visualization: Integrates rich annotation data with known genomic features to prioritize transcripts and support visualization-based assessment.
- Long-read/third-generation sequencing compatibility: Operates on data derived from third-generation long-read sequencing, including reads spanning several thousand base pairs.
Scientific Applications:
- Rare Mendelian disease research: Supports discovery of novel isoforms and lncRNAs relevant to rare Mendelian disease investigations.
- Transcript diversity and regulation studies: Enables analysis of transcript diversity and splicing regulation through comprehensive alternative splicing detection.
- Functional genomics and gene expression: Facilitates understanding of gene expression patterns by resolving full-length transcript structures.
- Prioritization for experimental follow-up: Guides selection of transcripts for downstream functional studies by integrating annotations and genomic feature context.
Methodology:
Processes long-read third-generation sequencing data to characterize full-length transcripts, detect alternative splicing events including shifted types, identify lncRNAs, and integrate annotation with genomic features for transcript prioritization and visualization.
Topics
Collections
Details
- Tool Type:
- command-line tool
- Programming Languages:
- Python
- Added:
- 1/20/2021
- Last Updated:
- 5/21/2021
Operations
Publications
Chen D, Zhao Q, Jiang L, Liao S, Meng Z, Xu J. TGStools: A Bioinformatics Suit to Facilitate Transcriptome Analysis of Long Reads from Third Generation Sequencing Platform. Genes. 2019;10(7):519. doi:10.3390/genes10070519. PMID:31295871. PMCID:PMC6678717.