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Igor Landais

dblp:27/396 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2003
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › molecular evolution
codon usage analysis
0.012003
Annotation pattern of ESTs from Spodoptera frugiperda Sf9 cells and analysis of the ribosomal protein genes reveal insect-specific features and unexpectedly low codon usage bias · Bioinform. 2003
Bioinformatics and computational biology
comparative genomics
0.012003
Annotation pattern of ESTs from Spodoptera frugiperda Sf9 cells and analysis of the ribosomal protein genes reveal insect-specific features and unexpectedly low codon usage bias · Bioinform. 2003
Bioinformatics and computational biology › transcriptomics
expressed sequence tag analysis
0.012003
Annotation pattern of ESTs from Spodoptera frugiperda Sf9 cells and analysis of the ribosomal protein genes reveal insect-specific features and unexpectedly low codon usage bias · Bioinform. 2003

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

sequence analysis · 0.0phylogenetics · 0.0
YearPublicationVenuePosition
2003 Annotation pattern of ESTs from Spodoptera frugiperda Sf9 cells and analysis of the ribosomal protein genes reveal insect-specific features and unexpectedly low codon usage bias
abstract
MOTIVATION: A whole set of Expressed Sequence Tags (ESTs) from the Sf9 cell line of Spodoptera frugiperda is presented here for the first time. By this way we want to identify both conserved and specific genes of this pest species. We also expect from this analysis to find a class of protein sequences providing a tool to explore genomic features and phylogeny of Lepidoptera. RESULTS: The ESTs display both housekeeping as well as developmentally regulated genes, and a high percentage of sequences with unknown function. Among the identified ORFs, almost all ribosomal proteins (RPs) were found with high EST redundancy and hence sequence accuracy. The codon usage found among RP genes is in average surprisingly much less biased in Lepidoptera than in other organisms. Other Spodoptera genes also displayed a low bias, suggesting a general genome expression feature in this Lepidoptera. We also found that the L35A and L36 RP sequences, respectively, display 40 and 10 amino-acid insertions, both being present only in insects. Sequence analysis suggests that they are probably not subjected to a strong selective pressure and may be good phylogenetic markers for Lepidoptera. Most interestingly, the Lepidoptera sequences of 9 RP genes displayed a specific signature different from the canonical one. We conclude that the RP family allows valuable comparative genomics and phylogeny of Lepidoptera. AVAILABILITY: All EST sequence data are available from the private 'Spodo-Base' upon request.
Igor Landais, M. Ogliastro, Kazuei Mita, Junko Nohata, Miguel López-Ferber, Martine Duonor-Cérutti, Toru Shimada, Philippe Fournier, Gérard Devauchelle
Bioinform.1