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Ivan Couée

dblp:77/563 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2006
0000-0002-1117-0043ORCID · 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 › sequence annotation
sequence segmentation
0.112006
Domain organization within repeated DNA sequences: application to the study of a family of transposable elements · Bioinform. 2006
Bioinformatics and computational biology › genomics › transposable elements
transposable element analysis
0.112006
Domain organization within repeated DNA sequences: application to the study of a family of transposable elements · Bioinform. 2006

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

sequence alignment · 0.1domain classification · 0.1
YearPublicationVenuePosition
2006 Domain organization within repeated DNA sequences: application to the study of a family of transposable elements
abstract
MOTIVATION: The analysis of repeated elements in genomes is a fascinating domain of research that is lacking relevant tools for transposable elements (TEs), the most complex ones. The dynamics of TEs, which provides the main mechanism of mutation in some genomes, is an essential component of genome evolution. In this study we introduce a new concept of domain, a segmentation unit useful for describing the architecture of different copies of TEs. Our method extracts occurrences of a terminus-defined family of TEs, aligns the sequences, finds the domains in the alignment and searches the distribution of each domain in sequences. After a classification step relative to the presence or the absence of domains, the method results in a graphical view of sequences segmented into domains. RESULTS: Analysis of the new non-autonomous TE AtREP21 in the model plant Arabidopsis thaliana reveals copies of very different sizes and various combinations of domains which show the potential of our method. AVAILABILITY: DomainOrganizer web page is available at www.irisa.fr/symbiose/DomainOrganizer/.
Sébastien Tempel, Mathieu Giraud, Dominique Lavenier, Israël-César Lerman, Anne-Sophie Valin, Ivan Couée, Abdelhak El Amrani, Jacques Nicolas
Bioinform.6