A fast algorithm for determining the best combination of local alignments to a query sequence.

ABSTRACT:

Background

Existing sequence alignment algorithms assume that similarities between DNA or amino acid sequences are linearly ordered. That is, stretches of similar nucleotides or amino acids are in the same order in both sequences. Recombination perturbs this order. An algorithm that can reconstruct sequence similarity despite rearrangement would be helpful for reconstructing the evolutionary history of recombined sequences.

Results

We propose a graph-based algorithm for combining multiple local alignments to a query sequence into the single combination of alignments that either covers the maximal portion of the query or results in the single highest alignment score to the query. This algorithm can help study the process of genome rearrangement, improve functional gene annota

SUBMITTER: Conant GC 

PROVIDER: S-EPMC436051 | biostudies-literature | 2004 May

REPOSITORIES: biostudies-literature