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Lucie Charbonnier-Khamvongsa

Inserm

Publishes on Genomics and Phylogenetic Studies, Gene expression and cancer classification, Microbial Community Ecology and Physiology. 3 papers and 260 citations.

3Publications
260Total Citations

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Top publicationsby citations

RSAT 2015: Regulatory Sequence Analysis Tools
Alejandra Medina-Rivera, Matthieu Defrance, Olivier Sand et al.|Nucleic Acids Research|2015
Cited by 254Open Access

RSAT (Regulatory Sequence Analysis Tools) is a modular software suite for the analysis of cis-regulatory elements in genome sequences. Its main applications are (i) motif discovery, appropriate to genome-wide data sets like ChIP-seq, (ii) transcription factor binding motif analysis (quality assessment, comparisons and clustering), (iii) comparative genomics and (iv) analysis of regulatory variations. Nine new programs have been added to the 43 described in the 2011 NAR Web Software Issue, including a tool to extract sequences from a list of coordinates (fetch-sequences from UCSC), novel programs dedicated to the analysis of regulatory variants from GWAS or population genomics (retrieve-variation-seq and variation-scan), a program to cluster motifs and visualize the similarities as trees (matrix-clustering). To deal with the drastic increase of sequenced genomes, RSAT public sites have been reorganized into taxon-specific servers. The suite is well-documented with tutorials and published protocols. The software suite is available through Web sites, SOAP/WSDL Web services, virtual machines and stand-alone programs at http://www.rsat.eu/.

Integrating Bacterial ChIP‐seq and RNA‐seq Data With SnakeChunks
Claire Rioualen, Lucie Charbonnier-Khamvongsa, Julio Collado‐Vides et al.|Current Protocols in Bioinformatics|2019
Cited by 4Open Access

Next-generation sequencing (NGS) is becoming a routine approach in most domains of the life sciences. To ensure reproducibility of results, there is a crucial need to improve the automation of NGS data processing and enable forthcoming studies relying on big datasets. Although user-friendly interfaces now exist, there remains a strong need for accessible solutions that allow experimental biologists to analyze and explore their results in an autonomous and flexible way. The protocols here describe a modular system that enable a user to compose and fine-tune workflows based on SnakeChunks, a library of rules for the Snakemake workflow engine. They are illustrated using a study combining ChIP-seq and RNA-seq to identify target genes of the global transcription factor FNR in Escherichia coli, which has the advantage that results can be compared with the most up-to-date collection of existing knowledge about transcriptional regulation in this model organism, extracted from the RegulonDB database. © 2019 by John Wiley & Sons, Inc.

SnakeChunks: modular blocks to build Snakemake workflows for reproducible NGS analyses
Claire Rioualen, Lucie Charbonnier-Khamvongsa, Jacques van Helden|bioRxiv (Cold Spring Harbor Laboratory)|2017
Cited by 2Open Access

Abstract Summary Next-Generation Sequencing (NGS) is becoming a routine approach for most domains of life sciences, yet there is a crucial need to improve the automation of processing for the huge amounts of data generated and to ensure reproducible results. We present SnakeChunks, a collection of Snakemake rules enabling to compose modular and user-configurable workflows, and show its usage with analyses of transcriptome (RNA-seq) and genome-wide location (ChIP-seq) data. Availability The code is freely available (github.com/SnakeChunks/SnakeChunks), and documented with tutorials and illustrative demos (snakechunks.readthedocs.io). Contact claire.rioualen@inserm.fr , jacques.van-helden@univ-amu.fr Supplementary information Supplementary data are available at Bioinformatics online.