TSSFinder
TSSFinder predicts transcription start sites (TSS) in eukaryotic genomes, providing ab initio identification of promoter boundaries to support analysis of gene regulation.
Key Features:
- High Accuracy: Provides improved accuracy in predicting TSS signals compared to existing software.
- Speed and Efficiency: Operates with enhanced speed to enable rapid genome analysis.
- Pre-trained Models: Includes pre-trained models for Arabidopsis thaliana, Drosophila melanogaster, Gallus gallus, Homo sapiens, Oryza sativa, and Saccharomyces cerevisiae.
- Customizability: Can be customized for specific organisms using a minimal dataset of 125 DNA sequences with validated TSS signals and their genomic locations.
- Multiple TSS Support: Supports identification of multiple TSSs per gene.
Scientific Applications:
- Genome Annotation: Refines promoter region delineation in genome annotation projects by identifying precise TSS positions.
- Gene Regulation Analysis: Facilitates analysis of transcription regulation by locating TSSs relative to translation start sites.
- Alternative Initiation Studies: Enables study of alternative transcription initiation and multiple promoters per gene by detecting multiple TSSs.
Methodology:
Performs ab initio TSS prediction using machine learning with pre-trained models tailored to specific eukaryotic organisms and allows retraining with a minimal set of 125 DNA sequences with validated TSS positions and genomic coordinates.
Topics
Details
- Added:
- 12/13/2021
- Last Updated:
- 11/24/2024
Operations
Publications
de Medeiros Oliveira M, Bonadio I, Lie de Melo A, Mendes Souza G, Durham AM. TSSFinder—fast and accurate<i>ab initio</i>prediction of the core promoter in eukaryotic genomes. Briefings in Bioinformatics. 2021;22(6). doi:10.1093/bib/bbab198. PMID:34050351. PMCID:PMC8574697.
DOI: 10.1093/bib/bbab198
PMID: 34050351
PMCID: PMC8574697
Funding: - CAPES: 001, DS-1454337, DS-1560211
- Conselho Nacional de Desenvolvimento Científico e Tecnológico: 304360/2014-7
Documentation
Installation instructions
https://tssfinder.github.io/guides/01-setup.htmlQuick start guide
https://tssfinder.github.io/tutorials/01-quick-start.htmlDownloads
- Downloads pagehttps://tssfinder.github.io/download.html