Published January 15, 2007 | Version public
Journal Article

Multiple alignment by sequence annealing

  • 1. ROR icon University of California, Berkeley

Abstract

MOTIVATION: We introduce a novel approach to multiple alignment that is based on an algorithm for rapidly checking whether single matches are consistent with a partial multiple alignment. This leads to a sequence annealing algorithm, which is an incremental method for building multiple sequence alignments one match at a time. Our approach improves significantly on the standard progressive alignment approach to multiple alignment. RESULTS: The sequence annealing algorithm performs well on benchmark test sets of protein sequences. It is not only sensitive, but also specific, drastically reducing the number of incorrectly aligned residues in comparison to other programs. The method allows for adjustment of the sensitivity/specificity tradeoff and can be used to reliably identify homologous regions among protein sequences. AVAILABILITY: An implementation of the sequence annealing algorithm is available at http://bio.math.berkeley.edu/amap/

Additional Information

© The Author 2006. Published by Oxford University Press. Ariel Schwartz was supported by NSF grant EF 03-31494. Lior Pachter was supported by NIH grant R01HG2362 and NSF grant CCF0347992.

Additional details

Identifiers

Eprint ID
74861
Resolver ID
CaltechAUTHORS:20170307-134453947

Funding

NSF
EF-0331494
NIH
R01HG2362
NSF
CCF-0347992

Dates

Created
2017-03-07
Created from EPrint's datestamp field
Updated
2021-11-15
Created from EPrint's last_modified field