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PMID: 12584116 Published · ppublish English Comparative Study Evaluation Study Journal Article Research Support, Non-U.S. Gov't Validation Study

FORRepeats: detects repeats on entire chromosomes and between genomes.

Bioinformatics (Oxford, England) ·Vol. 19 ·No. 3 ·2003-02-12 ·Pages 319-26

Lefebvre A, Lecroq T, Dauchel H, Alexandre J

Abstract

As more and more whole genomes are available, there is a need for new methods to compare large sequences and transfer biological knowledge from annotated genomes to related new ones. BLAST is not suitable to compare multimegabase DNA sequences. MegaBLAST is designed to compare closely related large sequences. Some tools to detect repeats in large sequences have already been developed such as MUMmer or REPuter. They also have time or space restrictions. Moreover, in terms of applications, REPuter only computes repeats and MUMmer works better with related genomes. We present a heuristic method, named FORRepeats, which is based on a novel data structure called factor oracle. In the first step it detects exact repeats in large sequences. Then, in the second step, it computes approximate repeats and performs pairwise comparison. We compared its computational characteristics with BLAST and REPuter. Results demonstrate that it is fast and space economical. We show FORRepeats ability to perform intra-genomic comparison and to detect repeated DNA sequences in the complete genome of the model plant Arabidopsis thaliana.

MeSH Terms
Algorithms Arabidopsis/genetics Chromosomes Chromosomes, Plant/genetics Database Management Systems Genome Genome, Plant Humans Information Storage and Retrieval/methods Repetitive Sequences, Nucleic Acid/genetics Sequence Alignment/methods Sequence Analysis, DNA/methods
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Lefebvre A
ABISS-Université de Rouen, 76821 Mont Saint-Aignan Cedex, France. [email protected]
Lecroq T
Dauchel H
Alexandre J
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2003-02-12
Pages
319-26
Language
English
Region
England
NLM ID
9808944
Subset
IM
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