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Romain Fenouil

dblp:12/5654 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 2 · 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
2 papers
Bioinformatics and computational biology · 100%

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
epigenomics
0.212016
Pasha: a versatile R package for piling chromatin HTS data · Bioinform. 2016
Bioinformatics and computational biology › epigenomics
ChIP-chip analysis
0.112009
CoCAS: a ChIP-on-chip analysis suite · Bioinform. 2009
Bioinformatics and computational biology › epigenomics › ChIP-seq analysis
peak detection
0.112009
CoCAS: a ChIP-on-chip analysis suite · Bioinform. 2009
Bioinformatics and computational biology › sequence analysis
high-throughput sequencing data analysis
0.112016
Pasha: a versatile R package for piling chromatin HTS data · Bioinform. 2016
Bioinformatics and computational biology › gene regulation
transcriptional regulation analysis
0.012009
CoCAS: a ChIP-on-chip analysis suite · Bioinform. 2009

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

read elongation · 0.2nucleosome midpoint piling · 0.2
YearPublicationVenuePosition
2016 Pasha: a versatile R package for piling chromatin HTS data
abstract
UNLABELLED: We describe an R package designed for processing aligned reads from chromatin-oriented high-throughput sequencing experiments. Pasha (preprocessing of aligned sequences from HTS analyses) allows easy manipulation of aligned reads from short-read sequencing technologies (ChIP-seq, FAIRE-seq, MNase-Seq, …) and offers innovative approaches such as ChIP-seq reads elongation, nucleosome midpoint piling strategy for positioning analyses, or the ability to subset paired-end reads by groups of insert size that can contain biologically relevant information. AVAILABILITY AND IMPLEMENTATION: Pasha is a multi-platform R package, available on CRAN repositories under GPL-3 license (https://cran.r-project.org/web/packages/Pasha/). CONTACTS: [email protected] or [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Romain Fenouil, Nicolas Descostes, Lionel Spinelli, Frederic Koch, Muhammad Ahmad Maqbool, Touati Benoukraf, Pierre Cauchy, Charlène Innocenti, Pierre Ferrier, Jean-Christophe Andrau
Bioinform.1
2009 CoCAS: a ChIP-on-chip analysis suite
abstract
MOTIVATION: High-density tiling microarrays are increasingly used in combination with ChIP assays to study transcriptional regulation. To ease the analysis of the large amounts of data generated by this approach, we have developed ChIP-on-chip Analysis Suite (CoCAS), a standalone software suite which implements optimized ChIP-on-chip data normalization, improved peak detection, as well as quality control reports. Our software allows dye swap, replicate correlation and connects easily with genome browsers and other peak detection algorithms. CoCAS can readily be used on the latest generation of Agilent high-density arrays. Also, the implemented peak detection methods are suitable for other datasets, including ChIP-Seq output. AVAILABILITY: The software is available for download along with a sample dataset at http://www.ciml.univ-mrs.fr/software/ferrier.htm. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Touati Benoukraf, Pierre Cauchy, Romain Fenouil, Adrien Jeanniard, Frederic Koch, Sébastien Jaeger, Denis Thieffry, Jean Imbert, Jean-Christophe Andrau, Salvatore Spicuglia, Pierre Ferrier
Bioinform.3