GUIDANCE: A web server for assessing alignment confidence scores

Osnat Penn, Eyal Privman, Haim Ashkenazy, Giddy Landan, Dan Graur, Tal Pupko

Research output: Contribution to journalArticlepeer-review

Abstract

Evaluating the accuracy of multiple sequence alignment (MSA) is critical for virtually every comparative sequence analysis that uses an MSA as input. Here we present the GUIDANCE web-server, a userfriendly, open access tool for the identification of unreliable alignment regions. The web-server accepts as input a set of unaligned sequences. The server aligns the sequences and provides a simple graphic visualization of the confidence score of each column, residue and sequence of an alignment, using a color-coding scheme. The method is generic and the user is allowed to choose the alignment algorithm (ClustalW, MAFFT and PRANK are supported) as well as any type of molecular sequences (nucleotide, protein or codon sequences). The server implements two different algorithms for evaluating confidence scores: (i) the heads-or-tails (HoT) method, which measures alignment uncertainty due to co-optimal solutions; (ii) the GUIDANCE method, which measures the robustness of the alignment to guide-tree uncertainty. The server projects the confidence scores onto the MSA and points to columns and sequences that are unreliably aligned. These can be automatically removed in preparation for downstream analyses. GUIDANCE is freely available for use at http://guidance.tau.ac.il.

Original languageEnglish
Article numbergkq443
Pages (from-to)W23-W28
JournalNucleic Acids Research
Volume38
Issue numberSUPPL. 2
DOIs
StatePublished - 22 May 2010
Externally publishedYes

Bibliographical note

Funding Information:
Israel Science Foundation (grant 878/09 to T.P.); Saia foundation (HIV research to T.P.); US National Library of Medicine (grant LM010009-01 to D.G. and G.L.); Converging Technologies Program (to O.P.); and Edmond J. Safra Program (E.P.). Funding for open access charge: Israel Science Foundation (grant 878/09).

ASJC Scopus subject areas

  • Genetics

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