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PMID: 15060012 Published · ppublish English Comparative Study Journal Article Research Support, U.S. Gov't, P.H.S.

MAVID: constrained ancestral alignment of multiple sequences.

Genome research ·Vol. 14 ·No. 4 ·2004-04-00 ·Pages 693-9

Bray N, Pachter L

Abstract

We describe a new global multiple-alignment program capable of aligning a large number of genomic regions. Our progressive-alignment approach incorporates the following ideas: maximum-likelihood inference of ancestral sequences, automatic guide-tree construction, protein-based anchoring of ab-initio gene predictions, and constraints derived from a global homology map of the sequences. We have implemented these ideas in the MAVID program, which is able to accurately align multiple genomic regions up to megabases long. MAVID is able to effectively align divergent sequences, as well as incomplete unfinished sequences. We demonstrate the capabilities of the program on the benchmark CFTR region, which consists of 1.8 Mb of human sequence and 20 orthologous regions in marsupials, birds, fish, and mammals. Finally, we describe two large MAVID alignments, an alignment of all the available HIV genomes and a multiple alignment of the entire human, mouse, and rat genomes.

MeSH Terms
Animals Cats Cattle Computational Biology/methods Cystic Fibrosis Transmembrane Conductance Regulator/genetics Dogs Evolution, Molecular Fishes/genetics Genome Genome, Human Genome, Viral HIV-1/genetics Humans Mice Rabbits Rats Sequence Alignment/methods,statistics & numerical data Simian Immunodeficiency Virus/genetics Software/statistics & numerical data,trends Swine/genetics
Chemicals
CFTR protein, human Cystic Fibrosis Transmembrane Conductance Regulator
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Bray Nicolas
Department of Mathematics, University of California at Berkeley, Berkeley, California 94720, USA.
Pachter Lior
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Article Info
Journal
Genome research
Abbr.
Genome Res
ISSN
1088-9051
Published
2004-04-00
Pages
693-9
Language
English
Region
United States
NLM ID
9518021
PMCID
PMC383315
Subset
IM
Grants
NHGRI NIH HHS · R01 HG002362 · United States
NHGRI NIH HHS · R01-HG02362-01 · United States
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