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A Practical Guide to Phylogenetics for Nonexperts
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Computing multiple sequence/structure alignments with the T-coffee package.

Cedric Notredame1

  • 1Centre de Regulació Genòmica, Barcelona, Spain.

Current Protocols in Bioinformatics
|March 6, 2010
PubMed
Summary
This summary is machine-generated.

This unit details multiple sequence alignment assembly using the T-Coffee package. T-Coffee offers superior flexibility by combining alternative alignments based on consistency, aiding method selection.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Multiple sequence alignment (MSA) is crucial for comparative genomics and evolutionary studies.
  • Existing MSA tools like ClustalW have limitations in flexibility and combining diverse alignment strategies.

Purpose of the Study:

  • To describe the assembly of multiple sequence alignments using the T-Coffee package.
  • To highlight T-Coffee's enhanced flexibility in integrating various alignment outputs.

Main Methods:

  • Utilizing the T-Coffee software package for sequence alignment.
  • Employing T-Coffee's strategy to combine multiple alternative alignments.
  • Assessing the consistency between different alignments to generate a consensus alignment.

Main Results:

  • Demonstration of T-Coffee's capability to produce a single, robust alignment from multiple sources.
  • Showcasing the flexibility of T-Coffee compared to traditional methods like ClustalW.
  • Providing a framework for choosing among different alignment outputs based on consistency.

Conclusions:

  • T-Coffee provides a flexible and powerful approach for multiple sequence alignment.
  • The consistency-based strategy enhances the reliability of the final alignment.
  • T-Coffee is particularly valuable when dealing with complex datasets or deciding between multiple alignment methods.