T-Coffee (EBI)
T-Coffee (EBI) performs multiple sequence alignment by integrating local and global pairwise alignments and heterogeneous alignment sources into a library that guides progressive alignments to improve alignment accuracy.
Key Features:
- Library-based alignment: Pre-processing generates a library of pairwise alignments that informs the progressive alignment process.
- Integration of local and global alignments: The method leverages both local and global pairwise alignments to capture complementary alignment signals.
- Heterogeneous data sources: Alignment information can be derived from various alignment programs and structural superpositions to enrich the library.
- Performance validation: The approach was evaluated on 141 test cases and showed improved performance across datasets with varied phylogenetic spreads.
Scientific Applications:
- Comparative genomics: Producing accurate MSAs for genome-scale sequence comparisons and conserved region identification.
- Structural biology: Incorporating structural superpositions to improve alignments used in structure-function analyses.
- Phylogenetic analysis: Generating reliable alignments for sequences with significant evolutionary divergence to support phylogeny reconstruction.
Methodology:
Pre-processing builds a library of pairwise alignments from local and global pairwise methods and heterogeneous sources (various alignment programs and structural superpositions) that is used to guide a progressive alignment algorithm.
Topics
Collections
Details
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- api, web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 1/29/2015
- Last Updated:
- 11/24/2024
Operations
Publications
Notredame C, Higgins DG, Heringa J. T-coffee: a novel method for fast and accurate multiple sequence alignment 1 1Edited by J. Thornton. Journal of Molecular Biology. 2000;302(1):205-217. doi:10.1006/jmbi.2000.4042. PMID:10964570.
Madeira F, Madhusoodanan N, Lee J, Eusebi A, Niewielska A, Tivey ARN, Lopez R, Butcher S. The EMBL-EBI Job Dispatcher sequence analysis tools framework in 2024. Nucleic Acids Research. 2024;52(W1):W521-W525. doi:10.1093/nar/gkae241. PMID:38597606. PMCID:PMC11223882.
Madeira F, Pearce M, Tivey ARN, Basutkar P, Lee J, Edbali O, Madhusoodanan N, Kolesnikov A, Lopez R. Search and sequence analysis tools services from EMBL-EBI in 2022. Nucleic Acids Research. 2022;50(W1):W276-W279. doi:10.1093/nar/gkac240. PMID:35412617. PMCID:PMC9252731.
Documentation
Downloads
- Downloads pagehttps://tcoffee.org/Projects/tcoffee/index.html