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Antonin Marchais

dblp:64/11253 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2012
0000-0003-0954-8294ORCID · 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
0.112012
ncPRO-seq: a tool for annotation and profiling of ncRNAs in sRNA-seq data · Bioinform. 2012
Bioinformatics and computational biology › transcriptomics
small RNA-seq analysis
0.112012
ncPRO-seq: a tool for annotation and profiling of ncRNAs in sRNA-seq data · Bioinform. 2012

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

read alignment · 0.1annotation pipeline · 0.1
YearPublicationVenuePosition
2012 ncPRO-seq: a tool for annotation and profiling of ncRNAs in sRNA-seq data
abstract
SUMMARY: Non-coding RNA (ncRNA) PROfiling in small RNA (sRNA)-seq (ncPRO-seq) is a stand-alone, comprehensive and flexible ncRNA analysis pipeline. It can interrogate and perform detailed profiling analysis on sRNAs derived from annotated non-coding regions in miRBase, Rfam and RepeatMasker, as well as specific regions defined by users. The ncPRO-seq pipeline performs both gene-based and family-based analyses of sRNAs. It also has a module to identify regions significantly enriched with short reads, which cannot be classified under known ncRNA families, thus enabling the discovery of previously unknown ncRNA- or small interfering RNA (siRNA)-producing regions. The ncPRO-seq pipeline supports input read sequences in fastq, fasta and color space format, as well as alignment results in BAM format, meaning that sRNA raw data from the three current major platforms (Roche-454, Illumina-Solexa and Life technologies-SOLiD) can be analyzed with this pipeline. The ncPRO-seq pipeline can be used to analyze read and alignment data, based on any sequenced genome, including mammals and plants. AVAILABILITY: Source code, annotation files, manual and online version are available at http://ncpro.curie.fr/. CONTACT: [email protected] or [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Chong-Jian Chen, Nicolas Servant, Joern Toedling, Alexis Sarazin, Antonin Marchais, Evelyne Duvernois-Berthet, Valérie Cognat, Vincent Colot, Olivier Voinnet, Edith Heard, Constance Ciaudo, Emmanuel Barillot
Bioinform.5