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T-Coffee: A novel method for fast and accurate multiple sequence alignment.

C Notredame1, D G Higgins, J Heringa

  • 1National Institute for Medical Research, The Ridgeway, London, NW7 1AA, UK. cedric.notredame@europe.com

Journal of Molecular Biology
|August 31, 2000
PubMed
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We introduce T-Coffee, a novel multiple sequence alignment method that significantly enhances accuracy. This approach improves upon progressive alignment by using pre-processed pairwise alignment data to guide the process, yielding more reliable results.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Multiple sequence alignment (MSA) is crucial for understanding protein and nucleic acid evolution.
  • Existing progressive alignment methods can suffer from inaccuracies due to their greedy nature.
  • There is a need for more reliable MSA methods that overcome these limitations.

Purpose of the Study:

  • To present a new MSA method, T-Coffee, that improves accuracy over existing popular alternatives.
  • To demonstrate how T-Coffee overcomes the pitfalls of greedy progressive alignment algorithms.
  • To validate the reliability of T-Coffee using a comprehensive set of test cases.

Main Methods:

  • T-Coffee employs a pre-processing step to create a library of pairwise alignment information.

Related Experiment Videos

  • This library guides a modified progressive alignment approach, incorporating global alignment data.
  • Heterogeneous sources, including various alignment programs and structure superposition, can inform the alignment library.
  • Main Results:

    • T-Coffee alignments showed significantly higher reliability compared to popular alternatives in 141 test cases.
    • The accuracy improvements were particularly notable for challenging test cases.
    • The method's effectiveness was consistent across sequences with varying phylogenetic spreads.

    Conclusions:

    • T-Coffee offers a substantial advancement in multiple sequence alignment accuracy.
    • The method's reliance on pre-computed alignment libraries enhances robustness and reliability.
    • T-Coffee represents a valuable tool for bioinformatics research requiring precise sequence alignments.