Hub members Have many expertise, covering most of the fields in bioinformatics and biostatistics. You'll find below a non-exhaustive list of these expertise
Searched keyword : Non coding RNA
Related people (5)
Developing and evaluating bioinformatic tools for: – next generation sequencing data – genome analysis & comparison Specialties:Genome & Transcriptome Bioinformatics
Data managementData VisualizationGenomicsNon coding RNASequence analysisTranscriptomicsGenome analysisBiostatisticsProgram developmentScientific computingData and text miningBiosensors and biomarkersEpidemiology and public health
- Identification of non-coding RNAs under the control of the PerR regulators(Nadia BENAROUDJ - Biology of Spirochetes) - In Progress
- Tissue-resident stromal cell heterogeneity(Lucie PEDUTO - Stroma, Inflammation and Tissue Repair) - In Progress
- Role of small non coding RNAs in the adaptive response to oxidative stress in pathogenic Leptospira(NADIA BENAROUDJ - Biology of Spirochetes) - In Progress
After a PhD in informatics on graph analysis (metabolic networks and sRNA-mRNA interaction graphs) at the LaBRI (Université de Bordeaux), I joined the DSIMB team (INTS) for a post-doc on structural modeling. Then, I performed a second post-doc at Metagenopolis – INRA Jouy-en-Josas, where I was initiated to the analysis of metagenomic data. I was recruited at the HUB in 2015, and since I pursue the development of methods dedicated to the treatment of metagenomic data by combining either the treatment of sequencing data, the statistics, the protein structural modeling and the graph analysis.
AlgorithmicsClusteringGenome assemblyGenomicsMetabolomicsModelingNon coding RNASequence analysisStructural bioinformaticsTargeted metagenomicsDatabaseGenome analysisBiostatisticsProgram developmentScientific computingDatabases and ontologiesExploratory data analysisData and text miningIllumina HiSeqComparative metagenomicsRead mappingIllumina MiSeqSequence homology analysisGene predictionMultidimensional data analysisSequencingShotgun metagenomics
- Research of orphan LytTR DNA-binding domain(Alexis PROUTIÈRE - Biology of Gram-Positive Pathogens) - Pending
- Analysis of microbiota in Anopheles mosquitoes(Patricia BALDACCI - Center for Production and Infection of Anopheles) - Pending
- Assessing the role of gut microbiota in spondyloarthritis patients and impact of anti-TNF treament on its composition(Corinne RICHARD-MICELI - Immunoregulation) - Closed
Rachel Legendre is a bioinformatics engineer. She completed her master degree in apprenticeship for two years at INRA in Jouy-en-Josas in the Genetic Animal department. She was involved in a project aiming at the detection and the expression analysis of micro-RNA involved in an equine disease. In 2012, she joined the Genomic, Structure and Translation Team at Paris-Sud (Paris XI) university. She worked principally on Ribosome Profiling data analysis, a new technique that allows to identify the position of the ribosome on the mRNA at the nucleotide level. Since november 2015, she worked at Institut Pasteur. During 4 years, she was detached to the Biomics Platform, where she was in charge of the bioinformatics analyses for transcriptomics and epigenomics projects. She was also involved in Long Reads (PacBio and Nanopore) developments with other bioinformaticians of Biomics. Since november 2019, she has joined the Hub of Bioinformatics and Biostatistics, et more precisely the Genome Organization Regulation and Expression group.
AlgorithmicsChIP-seqEpigenomicsNon coding RNATranscriptomicsGenome analysisProgram developmentScientific computingSofware development and engineeringIllumina HiSeqRead mappingSequencingWorkflow and pipeline developmentChromatin accessibility assaysPac BioRibosome profiling
BacteriaFungiParasiteHumanInsect or arthropodOther animal
- Small RNA signature on RIG-I like receptors(Anastasia KOMAROVA - Molecular Genetics of RNA Viruses) - In Progress
- Determination of RABV RNAs signatures recognized by RLRs(Wahiba AOUADI - Lyssavirus Dynamics and Host Adaptation) - Pending
- Identification of internal methylations of RABV mRNAs using RiboMeth sequencing approach(Wahiba AOUADI - Lyssavirus Dynamics and Host Adaptation) - Pending
I obtained a PhD in phylogeny in 2008 at the Muséum National d’Histoire Naturelle in Paris, then worked as a post-doc in Torino (Italy, 2009 – 2011) and Faro (Portugal, 2011 – 2013) where I worked on methodological aspects of phylogeny. In 2013, I have been hired as research engineer in bioinformatics at the Institut de Génétique Humaine in Montpellier where I wrote tools to analyse high-throughput sequencing data, especially small RNA-seq. This is also the kind of job I do now at Institut Pasteur, since 2016. I enjoy programming in python, I’m interested in evolutionary biology, and I find teaching the UNIX command-line a rewarding activity. My published work is available here: http://www.normalesup.org/~bli/useful.html
GenomicsNon coding RNATranscriptomicsSofware development and engineeringGeneticsWorkflow and pipeline development
Insect or arthropodOther animalDrosophila melanogaster (Fruit fly)C. elegans
- Bioinformatic analysis of paired alpha and beta T cell receptor sequences obtained at the single cell level by illumina sequencing(Lisa CHAKRABARTI - Virus and Immunity) - In Progress
- Training project for bacterial ChIP-seq Analysis on Streptococcus agalactiae(Maria vittoria MAZZUOLI - Biology of Gram-Positive Pathogens) - Closed
- Understanding the pathways of small RNA production during Meiotic Silencing by Unpaired DNA (MSUD) in the fungus Neurospora crassa(Eugene GLADYSHEV - Other) - In Progress
After graduating from Paris VI University with a PhD in Genetics on the “Role of histone protein post-translational modifications in splicing regulation” that I performed in the Epigenetic Regulation unit at the Institut Pasteur, I carried out two post-doctoral experiences. I first worked for three years as a postdoctoral associate of the Whitehead Institute for Biomedical Research/MIT in Cambridge (USA). My main project consisted in the integration of genomic and epigenomic data in order to predict the transcription factors that are potentially at the core of the regulation of the cell-type specific gene expression programs. I then joined the Institut Curie where I deepened my experience in multi-omics data analyses and integration to identify non-coding RNAs involved in cancer progression. I have recently joined the HUB-C3BI of the Institut Pasteur where I am performing high-throughput data integration to better understand biological complexity and contribute to precision medicine development.
ATAC-seqChIP-seqEpigenomicsNon coding RNAPathway AnalysisRNA-seqSingle CellSystems BiologyTool DevelopmentTranscriptomicsData integrationGraph theory and analysisCell biology and developmental biology
Related projects (8)
Mise a disposition d'un(e) bioinformaticien(ne) du hub pour les analyses bioinformatiques du transcriptome et de l epigenome
La PF Transcriptome et Epigenome développe des projets de séquençage à haut débit (collaboration et service) avec des équipes du Campus. Ceux-ci couvrent l'ensemble des thématiques du campus ainsi qu'une large gamme d'organismes (des virus aux mammifères). La plate-forme exerce des activités de biologie humide (construction des librairies et séquençage) et de biologie sèche (analyse bioinformatiques et statistiques). La personne mise a disposition interagira étroitement avec les autres bioinformaticiens du pôle BioMics et du Hub. Ses activités concerneront notamment: - La participation à la conception et à la mise en place des projets avec les équipes demandeuses, la prise en charge des analyses et le reporting aux utilisateurs - La mise en place d'un workflow d'analyse bioinformatique des données de transcriptome /épigénome en étroite collaboration avec le C3BI, la DSI et les autres bioinformaticiens du pole. Ce workflow permettra le contrôle qualité des données, leur prétraitement, le mapping des séquences sur les génomes/transcriptomes de réference, et le comptage des reads pour les différents éléments de l'annotation - L'adaptation du workflow d'analyse aux questions biologiques et aux organismes étudiés dans le cadre des activités de la PF - L'activité de veille technologique et bibliographique (test et validation de nouveaux outils d'analyse, updates d'outils existants...) - La mise en place et le développement d'outils d'analyse adaptés aux futurs projets de la PF: single cell RNAseq, métatranscriptome, ChIPseq, analyse des isoformes de splicing.. Ceci se fera notamment via la réalisation d'analyses dédiées avec certains utilisateurs. Les outils mis en place et validés dans ce cadre seront ensuite utilisés pour l'ensemble des projets. - L'activité de communication et de formation (participation aux réunions du consortium France Génomique,formation permanente à l' Institut Pasteur… - la participation a d autres projets du Pole BioMics (selon disponibilité) Bernd Jagla, qui était le bioinformaticien de la plateforme a rejoint le Hub au 1er janvier 2016. Rachel Legendre est mise a disposition depuis le 2 novembre 2015 et remplace Bernd Jagla. Je souhaite que Rachel Legendre soit mise à disposition de la plateforme pour une durée d'au moins 2 ans.
Prediction of RNA-RNA interactions between a family of GC-rich ncRNAs and nascent transcripts of virulence genes in Plasmodium falciparum
In Plasmodium falciparum a virulence gene family with 60 var genes codes for the PfEMP1 surface proteins, which undergo antigenic variation. This epigenetically controlled mechanism promotes immune evasion of the parasite. As ncRNAs are emerging as relevant regulators of gene expression we are investigating a GC-rich ncRNA gene family consisting of 15 highly homologous members all positioned next to var gene clusters. We recently found that GC-rich ncRNA transcript associates with the distinct nuclear expression site in which a single var gene is transcribed. We hypothesize that GC-rich ncRNAs interact with the nascent mRNA of var virulence genes. We intend to predict potential RNA-RNA interaction with thermodynamic calculation provided by the RNAup software. In silico prediction of potential binding sites and strength of interaction will help to generate hypotheses and inform our further experimental design.
We study the regulation of type I interferon (IFN) response in humans and in particular the functioning of a key negative feedback regulator, USP18. A recent article reported on a predicted 897nt-long LincRNA (long intergenic non coding RNA) that may target USP18. We have collected information for this LincRNA (genomic locus, putative transcript variants, sequence similarities with USP18 RNA, predicted ORFs, homologies with other genes, etc). To draw a guideline for wet lab experiments, we need to mine databases on this LincRNA. We expect to find it up-regulated in conditions of inflammation or in specific immune cell subsets, like macrophages. We wish to interrogate existing RNA-seq and Chip-seq human databases to obtain information on expression, transcriptional regulation, function, tissue-specificity or relation with pathological conditions of this LincRNA.
Genomic determinants for initiation and length of natural antisense transcripts in a compact eukaryotic genome and phylogenetic analysis of related Entamoeba species
Entamoeba histolytica is a protozoan parasite and an amitochondriate pathogenic amoeba, which causes amoebiasis (dysentery and liver abscess) in humans. In addition to E. histolytica several species infect the human intestine although these do not cause disease and include in most of cases E. dispar and ocassionnally E. moshkovskii. A phylogenetically close Entamoeba, E. invadens infecting snails, is used as cellular model for Entamoeba cyst formation.
Supported by the National Agency for Research (ANR-10-GENM-0011) we developed a project to firstly study the transcriptional landscape of pathogenic E. histolytica. Among the results we discovered that 60% of ORFs present anti-sense RNAs (NATs) that map to the 3‘ end of genes. Their regulation is modified upon environmental changes. The regulation of NATs is basically governed by genomic sequences within the very short intragenic region of the amoeba genome. Secondly, we have started to conduct comparative genomics and transcriptomics approaches to understand phenotypic differences between Entamoeba species, in particular with respect to virulence.
Characterization of the role of Argonaute proteins in regulating germline gene expression at the transcriptional and the post-transcriptional levels.
This research project focuses on the characterization of the role of small RNAs and their associated Argonaute proteins in transcriptional and post-transcriptional regulation of germline gene expression. Using the nematode C. elegans, we have recently showed that one of the germline-expressed Argonaute protein, CSR-1, promotes germline transcription. However, CSR-1 also possess an endonucleolytic activity that might participate in post-transcriptional silencing. Therefore, two possible functions of the protein might regulate the germline transcriptome. 1) CSR-1 promotes specific germline transcription programs in the nucleus, and 2) negatively regulates expression of target transcripts in the cytoplasm. To gain mechanistic insights into these two functions, we aim to use RNA-seq, sRNA-seq, ChIP-seq, GRO-seq, Ribo-seq, RIP-seq, iCLIP in wild type worms, knock out and catalytic inactive mutants of CSR-1 protein at different times of germline development.
Understanding the pathways of small RNA production during Meiotic Silencing by Unpaired DNA (MSUD) in the fungus Neurospora crassa
The canonical (“textbook”) process of DNA homology search and recognition is initiated by DNA double-strand breaks and is mediated by the universally conserved recombinases of the RecA family. Using t
Transcriptomics of Anopheles – Plasmodium vivax interactions towards identification of malaria transmission blocking targets
Despite the worldwide importance of malaria due to Plasmodium vivax, there is currently almost no data on the molecular responses of the Anopheles mosquito vectors to this parasite species. Understa
Pathogen leptospires are responsible for the zoonotic disease leptospirosis. During infection, Leptospira are confronted with dramatic adverse environmental changes such as deadly reactive oxygen spec