Evidence map›Paper›PMID 16722533›Full record

ArticleAlgorithms for molecular biology : AMB2006

Multiple sequence alignment with user-defined anchor points.

Burkhard Morgenstern, Sonja J Prohaska, Dirk Pöhler, Peter F Stadler

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Article in Algorithms for molecular biology : AMB, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

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20citing papers in PubMed
–field-weighted citation impact
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3 · Its place in the literature

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20 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Burkhard MorgensternUniversität Göttingen, Institut für Mikrobiologie und Genetik, Abteilung für Bioinformatik, Goldschmidtstrasse, 1, D-37077 Göttingen, Germany. burkhard@gobics.de
Sonja J Prohaska
Dirk Pöhler
Peter F Stadler

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAutomated software tools for multiple alignment often fail to produce biologically meaningful results. In such situations, expert knowledge can help to improve the quality of alignments.

resultsHerein, we describe a semi-automatic version of the alignment program DIALIGN that can take pre-defined constraints into account. It is possible for the user to specify parts of the sequences that are assumed to be homologous and should therefore be aligned to each other. Our software program can use these sites as anchor points by creating a multiple alignment respecting these constraints. This way, our alignment method can produce alignments that are biologically more meaningful than alignments produced by fully automated procedures. As a demonstration of how our method works, we apply our approach to genomic sequences around the Hox gene cluster and to a set of DNA-binding proteins. As a by-product, we obtain insights about the performance of the greedy algorithm that our program uses for multiple alignment and about the underlying objective function. This information will be useful for the further development of DIALIGN. The described alignment approach has been integrated into the TRACKER software system.

Identifiers

PMID16722533
PMCPMC1481597

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.