tailieunhanh - Báo cáo sinh học: "Multiple sequence alignment with user-defined anchor points"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí y học Molecular Biology cung cấp cho các bạn kiến thức về ngành sinh học đề tài: Multiple sequence alignment with user-defined anchor points. | Algorithms for Molecular Biology BioMed Central Research Open Access Multiple sequence alignment with user-defined anchor points Burkhard Morgenstern 1 Sonja J Prohaska2 Dirk Pohler1 and Peter F Stadler2 Address 1Universitat Gottingen Institut fur Mikrobiologie und Genetik Abteilung fur Bioinformatik Goldschmidtstrasse. 1 D-37077 Gottingen Germany and 2Universitat Leipzig Institut fur Informatik und Interdisziplinares Zentrum fur Bioinformatik Kreuzstrasse 7b D-04103 Leipzig Germany Email Burkhard Morgenstern - burkhard@ Sonja J Prohaska - sonja@ Dirk Pohler - dpoehler@ Peter F Stadler - Corresponding author Published 19 April 2006 Received 15 February 2006 Algorithms for Molecular Biology 2006 1 6 doi 1748-7188-1-6 Accepted 19 April 2006 This article is available from http content 1 1 6 2006 Morgenstern et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Automated 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. Results Herein 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

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