Trinity
Trinity is a software tool for de novo assembly and reconstruction of full-length transcripts from RNA-Seq data without needing a reference genome. It employs an innovative approach to constructing and analyzing de Bruijn graphs to efficiently reconstruct many transcripts, including alternatively spliced isoforms and transcripts from recently duplicated genes. Trinity has been evaluated on various samples, such as fission yeast, mouse, and whitefly, demonstrating its ability to recover more full-length transcripts across a wide range of expression levels compared to other de novo transcriptome assemblers. The sensitivity of Trinity is comparable to methods that rely on genome alignments, making it a comprehensive solution for transcriptome reconstruction in any sample, mainly when a reference genome is unavailable or incomplete.
Topic
Transcriptomics;Gene expression;Gene transcripts
Detail
Operation: Transcriptome assembly
Software interface: Suite
Language: Java,C++
License: Not stated
Cost: Free of charge
Version name: -
Credit: The U.S. Department of Health and Human Services partially funded this project through a grant from the National Human Genome Research Institute.
Input: -
Output: -
Contact: Nir Friedman nir@cs.huji.ac.il ,Aviv Regev aregev@broad.mit.edu
Collection: -
Maturity: -
Publications
- Full-length transcriptome assembly from RNA-Seq data without a reference genome.
- Grabherr MG, et al. Full-length transcriptome assembly from RNA-Seq data without a reference genome. Full-length transcriptome assembly from RNA-Seq data without a reference genome. 2011; 29:644-52. doi: 10.1038/nbt.1883
- https://doi.org/10.1038/nbt.1883
- PMID: 21572440
- PMC: PMC3571712
- De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis
- Haas BJ, et al. De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis. De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis. 2013; 8:1494-512. doi: 10.1038/nprot.2013.084
- https://doi.org/10.1038/nprot.2013.084
- PMID: 23845962
- PMC: PMC3875132
- Trinity RNA-Seq assembler performance optimization
- Kaushik A, et al. miRMOD: a tool for identification and analysis of 5' and 3' miRNA modifications in Next Generation Sequencing small RNA data. miRMOD: a tool for identification and analysis of 5' and 3' miRNA modifications in Next Generation Sequencing small RNA data. 2015; 3:e1332. doi: 10.7717/peerj.1332
- https://doi.org/10.1145/2335755.2335842
- PMID: -
- PMC: -
Download and documentation
Documentation: https://github.com/trinityrnaseq/trinityrnaseq/wiki
Home page: https://github.com/trinityrnaseq/trinityrnaseq/wiki
< Back to DB search