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Brice Felden

dblp:60/2749 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2008
0000-0003-2803-0626ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 2

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
2 papers
Bioinformatics and computational biology · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics › microbial genomics
bacterial genome analysis
0.012003
Intergenic sequence inspector: searching and identifying bacterial RNAs · Bioinform. 2003
Bioinformatics and computational biology › genome annotation
intergenic region analysis
0.012003
Intergenic sequence inspector: searching and identifying bacterial RNAs · Bioinform. 2003
Bioinformatics and computational biology › sequence analysis
non-coding RNA identification
0.012003
Intergenic sequence inspector: searching and identifying bacterial RNAs · Bioinform. 2003
Bioinformatics and computational biology › RNA biology › RNA analysis › RNA bioinformatics › RNA structure prediction
RNA secondary structure prediction
0.012003
Intergenic sequence inspector: searching and identifying bacterial RNAs · Bioinform. 2003

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

comparative genomics · 0.1antisense pairing prediction · 0.1phylogenetic conservation · 0.0
YearPublicationVenuePosition
2008 Small RNA gene identification and mRNA target predictions in bacteria
abstract
MOTIVATION: Bacterial small ribonucleic acids (sRNAs) that are not ribosomal and transfer or messenger RNAs were initially identified in the sixties, whereas their molecular functions are still under active investigation today. It is now widely accepted that most play central roles in gene expression regulation in response to environmental changes. Interestingly, some are also implicated in bacterial virulence. Functional studies revealed that a large subset of these sRNAs act by an antisense mechanism thanks to pairing interactions with dedicated mRNA targets, usually around their translation start sites, to modulate gene expression at the posttranscriptional level. Some sRNAs modulate protein activity or mimic the structure of other macromolecules. In the last few years, in silico methods have been developed to detect more bacterial sRNAs. Among these, computational analyses of the bacterial genomes by comparative genomics have predicted the existence of a plethora of sRNAs, some that were confirmed to be expressed in vivo. The prediction accuracy of these computational tools is highly variable and can be perfectible. Here we review the computational studies that have contributed to detecting the sRNA gene and mRNA targets in bacteria and the methods for their experimental testing. In addition, the remaining challenges are discussed.
Christophe Pichon, Brice Felden
Bioinform.2
2003 Intergenic sequence inspector: searching and identifying bacterial RNAs
abstract
Intergenic Sequence Inspector (ISI) is a program that helps in identifying bacterial ribonucleic acids (RNAs). It automatically extracts, selects and visualizes candidate intergenic regions (IGRs) that bear conservations between phylogenetically related species, displaying sequence and structural signatures of RNA genes encompassing putative promoters, terminators, RNA secondary structure predictions and the G+C percent of the selected sequences. ISI is intentionally modular to analyze various bacterial genomes according to their intrinsic specificities and to the available data. ISI provides a sum of information to the user who can evaluate whether or not an IGR is susceptible to express RNAs.
Christophe Pichon, Brice Felden
Bioinform.2