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Jean-Michel Fayard

dblp:46/5828 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none

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

Artificial intelligence and machine learning · 1Applied, 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
microarray design
0.012004
ROSO: optimizing oligonucleotide probes for microarrays · Bioinform. 2004
Bioinformatics and computational biology › sequence analysis › primer and probe design
oligonucleotide probe selection
0.012004
ROSO: optimizing oligonucleotide probes for microarrays · Bioinform. 2004

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

tm optimization · 0.0secondary structure avoidance · 0.0cross-hybridization avoidance · 0.0
YearPublicationVenuePosition
2008 The Topology of the Protein Network Influences the Dynamics of Gene Order: From Systems Biology to a Systemic Understanding of Evolution
abstract
Abstract Systems biology invites us to consider the dynamic interactions between the components of a living cell. Here, by evolving artificial organisms whose genomes encode protein networks, we show that a coupling emerges at the evolutionary time scale between the protein network and the structure of the genome. Gene order is more stable when the protein network is more densely connected, which most likely results from a long-term selection for mutational robustness. Understanding evolving organisms thus requires a systemic approach, taking into account the functional interactions between gene products, but also the global relationships between the genome and the proteome at the evolutionary time scale.
Carole Knibbe, Jean-Michel Fayard, Guillaume Beslon
Artif. Life2
2004 ROSO: optimizing oligonucleotide probes for microarrays
abstract
UNLABELLED: ROSO is software to design optimal oligonucleotide probe sets for microarrays. Selected probes show no significant cross-hybridization, no stable secondary structures and their Tm are chosen to minimize the Tm variability of the probe set. AVAILABILITY: The program is available on the internet. Sources are freely available, for non-profit use, on request to the authors. SUPPLEMENTARY INFORMATION: http://pbil.univ-lyon1.fr/roso
Nancie Reymond, Hubert Charles, Laurent Duret, Federica Calevro, Guillaume Beslon, Jean-Michel Fayard
Bioinform.6