Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Eric Coissac

dblp:75/6629 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2007
0000-0001-7507-6729ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis › repeat detection
approximate repeat detection
0.112007
Repseek, a tool to retrieve approximate repeats from large DNA sequences · Bioinform. 2007
Bioinformatics and computational biology
sequence analysis
0.112007
Repseek, a tool to retrieve approximate repeats from large DNA sequences · Bioinform. 2007

Methods — techniques the papers use, named apart from their topics

sequence alignment · 0.1seed extension · 0.1
YearPublicationVenuePosition
2007 Repseek, a tool to retrieve approximate repeats from large DNA sequences
abstract
UNLABELLED: Chromosomes or other long DNA sequences contain many highly similar repeated sub-sequences. While there are efficient methods for detecting strict repeats or detecting already characterized repeats, there is no software available for detecting approximate repeats in large DNA sequences allowing for weighted substitutions and indels in a coherent statistical framework. Here, we present an implementation of a two-steps method (seed detection followed by their extension) that detects those approximate repeats. Our method is computationally efficient enough to handle large sequences and is flexible enough to account for influencing factors, such as sequence-composition biases both at the seed detection and alignment levels. AVAILABILITY: http://wwwabi.snv.jussieu.fr/public/RepSeek/
Guillaume Achaz, Frédéric Boyer, Eduardo P. C. Rocha, Alain Viari, Eric Coissac
Bioinform.5