ProbCons: Probabilistic consistency-based multiple sequence alignment

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ProbCons: Probabilistic consistency-based multiple sequence alignment.

To study gene evolution across a wide range of organisms, biologists need accurate tools for multiple sequence alignment of protein families. Obtaining accurate alignments, however, is a difficult computational problem because of not only the high computational cost but also the lack of proper objective functions for measuring alignment quality. In this paper, we introduce probabilistic consist...

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PROBCONS: Probabilistic Consistency-Based Multiple Alignment of Amino Acid Sequences

Obtaining an accurate multiple alignment of protein sequences is a difficult computational problem for which many heuristic techniques sacrifice optimality to achieve reasonable running times. The most commonly used heuristic is progressive alignment, which merges sequences into a multiple alignment by pairwise comparisons along the nodes of a guide tree. To improve accuracy, consistency-based ...

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Multiple sequence alignment using Probcons and Probalign.

Sequence alignment remains a fundamental task in bioinformatics. The literature contains programs that employ a host of exact and heuristic strategies available in computer science. Probcons was the first program to construct maximum expected accuracy sequence alignments with hidden Markov models and at the time of its publication achieved the highest accuracies on standard protein multiple ali...

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Multiple Sequence Alignment Multiple Sequence Alignment

An algorithm for progressive multiple alignment of sequences with insertions " , 1. Introduction The problem of sequence alignment is to find the patterns of sequence conservation and similarity between pairs or sets of given sequences. In biological contexts, similarity between biological sequences usually amounts to either functional or structural similarities or divergence from a common ance...

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Segment-based multiple sequence alignment

MOTIVATION Many multiple sequence alignment tools have been developed in the past, progressing either in speed or alignment accuracy. Given the importance and wide-spread use of alignment tools, progress in both categories is a contribution to the community and has driven research in the field so far. RESULTS We introduce a graph-based extension to the consistency-based, progressive alignment...

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ژورنال

عنوان ژورنال: Genome Research

سال: 2005

ISSN: 1088-9051

DOI: 10.1101/gr.2821705