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 : Insect or arthropod
Related people (6)
Initially trained in evolutionary and environmental sciences, I studied population genetics and micro-evolutionary processes in a number of postdoctoral research projects. I recently joined the C3BI-Hub at the Institut Pasteur, where I work on various aspects involving Biostatistics and the analysis of genetic data.
Association studiesGenomicsGenotypingBiostatisticsGeneticsEvolutionPopulation genetics
BacteriaParasiteHumanInsect or arthropodOther animal
- 3DPATH(marion RINCEL - Microenvironment and Immunity) - Pending
- Analyse statistique de données de phénotypage à haut débit(Melanie LEGRAND - Fungal Biology and Pathogenicity) - Pending
- Identification of the genetic basis of bacteriophage-resistant isolates(Laurent DEBARBIEUX - Molecular Biology of Gene in Extremophiles) - Pending
I have a joint MSc degree in Mathematical Modelling from three European universities: University of L’Aquila (Italy), University of Nice-Sophia Antipolis (France) and Autonomous University of Barcelona (Spain). I also hold a PhD degree in Applied Mathematics and Scientific Computing from University of Bordeaux, France. I have done my PhD and one year of post-doc at INRIA Bordeaux Sud-Ouest, and partially at IHU-Liryc. During this time I studied how electrical signals propagate through the cardiac tissue under certain diseased conditions. My model of interest was the bidomain model, which is a system of partial differential equations that takes into account physiological properties of the cardiac cells and the spatial organization of the cardiac tissue. I worked on the mathematical multiscale analysis and numerical simulations of the problem to understand how structural changes of the tissue affect the propagation of the signal on the heart level. I collaborated with biologists and engineers of the IHU-Liryc to apply my model on a rat heart using high-resolution MRI data. For this I also worked on image analysis and image processing. I’ve joined the Institute Pasteur in February 2018 as a member of the HUB in Bioinformatics and Biostatistics. Currently I am working on stochastic mathematical modeling and inference for systems biology, gene expression, RNA transcription, etc.
ModelingScientific computingApplication of mathematics in sciencesGraphics and Image Processing
BacteriaFungiInsect or arthropodEscherichia coliSaccharomyces cerevisiaeFly
After a PhD in Biology in 2011 on population genetics and phylogeography on amazing little amphipods (Crangonyx, Crymostygius) at the University of Reykjavik (Iceland), I pursued my interest in Bioinformatics and Evolutionary Biology in various post-docs in Spain (MNCN Madrid, UB Barcelona). During this time, I investigated transcriptomic landscapes for various non-model species (groups Conus, Junco and Caecilians) using de novo assemblies and participated in the development of TRUFA, a web platform for de novo RNA-seq analysis. In July 2016, I integrated the Revive Consortium and the Epigenetic Regulation unit at Pasteur Institute, where my main focus were transcriptomic and epigenetic analyses on various thematics using short and long reads technologies, with a special interest in alternative splicing events detection. I joined the Bioinformatics and Biostatistics Hub in January 2018. My latest interests are long reads technologies, alternative splicing and achieving reproducibility in Bioinformatics using workflow managers, container technologies and literate programming.
Data managementData VisualizationSequence analysisTranscriptomicsWeb developmentGenome analysisProgram developmentExploratory data analysisSofware development and engineeringGeneticsEvolutionRead mappingWorkflow and pipeline developmentPopulation geneticsMotifs and patterns detectionGrid and cloud computing
HumanInsect or arthropodOther animalAnopheles gambiae (African malaria mosquito)Mouse
- Build a software to decipher Gephyrin alternative transcripts obtained with long read sequencing(allemand ERIC - Epigenetic Regulation) - In Progress
- Transcriptomics of Anopheles – Plasmodium vivax interactions towards identification of malaria transmission blocking targets(Catherine BOURGOUIN - Functional Genetics of Infectious Diseases) - In Progress
- Mapping of Enhancers from transcriptome data(Christian MUCHARDT - Epigenetic Regulation) - In Progress
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
- basic alignment/visualisation pipeline(Pablo NAVARRO - Epigenetics of Stem Cells) - In Progress
- The master regulator of virulence gene expression in Group B Streptococcus(Arnaud FIRON - Biology of Gram-Positive Pathogens) - Pending
- Transcriptional analysis of injured skeletal muscle(Eleonora ROSSI - Stroma, Inflammation and Tissue Repair) - Closed
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 and other practical computer skills a rewarding activity. I’m also particularly involved in a course introducing PhD students (and sometimes other staff at Institut Pasteur) to R programming and basic descriptive statistics. The course support is available on-line and can hopefully be studied autonomously: https://hub-courses.pages.pasteur.fr/R_pasteur_phd/First_steps_RStudio.html One of my main activities is the development of automated data analysis workflows using Snakemake. 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
Related projects (22)
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.
We are comparing the bacterial communities of domestic and sylvatic breeding sites and midguts of Aedes aegypti collected in Gabon.
Insect vectors durably transmit many important human and animal diseases. Insects are mobile, adaptable and difficult to control, which makes them efficient vehicles for disease emergence, spread and maintenance. Genomic tools have been applied to the study of vectors and vector control, and some insects such as the African malaria vector Anopheles gambiae have now become new model organisms for natural host-pathogen interactions. We study mosquito vectors of malaria and arboviruses, which generates four main kinds of large-scale data that requires dedicated bioinformatics expertise: i) functional dissection of mosquito immune signaling pathways by RNAseq transcriptome profiling to detect responses to pathogen infection and/or silencing of target genes, including mRNA as well as small and other non-coding RNAs, ii) next-gen genetic linkage mapping by deep sequencing of index-tagged phenotyped individual mosquitoes, iii) population genomic analysis by whole-genome sequencing of hundreds of individual 250Mb mosquito genomes, iv) metagenomic analysis of the mosquito microbiome and pathogen susceptibility, and of ecological metagenomic communities in field samples of mosquito vectors.
Anopheles mosquitoes are the vectors of Plasmodium parasites, the etiological agents of malaria in humans. In Anopheles gambiae, a major vector in Africa, parasite transmission is largely under genetic control. We have previously shown that a gene family is implicated in the immune control of the parasite in this vector. The response of the family members is pathogen-specific, with one controlling P. falciparum infection and the other controlling rodent parasites. Recently, the genome of Anopheles stephensi, the major Asian vector, has been sequenced and, in this species, there is only one gene. Knocking down this gene reduced lifespan of A. stephensi and antibiotic treatment restores a normal longevity, suggesting the implication of the gut microbiota. Therefore, we conducted a metagenomic analysis in order to identify the bacteria responsible for the shorten of the mosquito lifespan.
The genome of the yellow fever mosquito (Aedes Aegypti) is not fully annoyed, and this project aims at discovering novel transcripts using RNAseq data.
The goal of the project is to determine if there are differences in the midgut microbiome of our lab colonies of Aedes aegypti. We frequently observe various phenotypic differences between different colonies of mosquitoes and it is a recurring question whether these phenotypic differences are a result of differences in the microbiome. We will sequence the microbiome of 6 representative established lab colonies that have been collected from geographically diverse areas and compare the bacterial communities between the them. This data will help us dissect the importance that variation of the midgut microbiome of lab colonies of Aedes aegypti has on the phenotypic differences we observe in the lab.
Yellow fever virus (YFV), a Flavivirus transmitted by mosquitoes causes a severe hemorrhagic fever in humans. Despite the availability of a safe and effective vaccine (17D), YFV is still a public health problem in tropical Africa and South America. In the Americas, the massive campaign of mosquito control during the first half of the 20th century led to the eradication of Aedes aegypti from most American countries, and as a consequence, urban outbreaks of YF were no longer observed. However, the relaxation of vector control led to the reinfestation of urban areas by Ae. aegypti and the subsequent establishment of the Asian tiger mosquito Aedes albopictus. In Brazil, while human cases are sporadically detected in the Amazonian basin where sylvatic YFV strains circulate between non-human primates and arboreal canopy-dwelling mosquitoes (Haemagogus sp.), they are increasingly reported outside the jungle moving towards the Atlantic coast, the most populated area. In the absence of routine immunization programs, YF may come back in the American towns as it was in the past. The causes leading to the current YF resurgence are multifactorial. From a mosquito vector viewpoint, changes in vector densities, distribution, vector competence or vector as a site of selection for epidemic YFV strains, can be regarded as critical factors. Our project aims to address the contribution of the invasive mosquito Ae. albopictus as a missing link to allow a selvatic YF strain (1D) to become adapted for a transmission in urban areas by the human-biting mosquito, Ae. aegypti. It will be done through three specific objectives: (i) identify Ae. albopictus-adaptive mutations after serial cycling of the selvatic YFV-1D on Brazilian Ae. albopictus mosquitoes, (ii) evaluate their potential to be transmitted to a vertebrate host, and (iii) deepen the transmission of the experimentally selected viruses by field-collected mosquito populations.
In early development, regulation of transcription results in precisely positioned and highly reproducible expression patterns that specify cellular identities. How transcription, a fundamentally noisy
Assessing the integrations of viral sequences into the genomes of Aedes albopictus and Aedes aegypti
Aedes albopictus is an important vector for transmitting arboviruses, such as Dengue, Chikungunya, West Nile or Zika viruses. Its worldwide distribution due to its high ability to adapt to variable en
As a result of combined climate change and globalization (increased flow of travelers and goods), the distribution of the mosquito Aedes albopictus is expanding significantly outside tropical regions.
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
This project to characterize defective viral genomes of shrimp pathogens i.e. Yellow head virus (YHV) from next-generation sequencing of viral RNAs data by using DI-tector or similar tools. NGS data
Characterization of the bacterial and fungal microbiota in Aedes aegypti natural breeding sites and larvae
Although the microbiota of mosquitoes is known to play an important role in their vectorial capacity for human pathogens, most earlier studies have focused on mosquito-bacteria interactions at the adu
Our research team recently identified an Aedes aegypti mosquito population that is partially resistant to dengue virus infection. We also have candidate genes that potentially innerly this phenotype.
Lyme borreliosis (LB) is an important tick-borne disease which can cause a broad range of symptoms mainly affecting the skin, the nervous system and the joints. It is caused by bacteria of the Borreli
Cepia mass produces two species of Anopheles mosquitoes for research teams studying malaria. The aim of this project is to assess 1) whether or not the compostion of the bacterial microbiota fluctuate
We are currently characterising a set of genes that are involved in the yellow fever mosquito, Aedes aegypti, vector competence. We would like to investigate the polymorphisms of those genes using ex
The mechanisms underlying Anopheles mosquito susceptibility to malaria parasite infection in nature are not understood. We infected wild Anopheles pedigrees in West Africa to map loci for susceptibili
The highest global malaria prevalence is in Africa, where the most important vectors are members of the Anopheles gambiae species complex. We generated a large curated panel of infected wild Anopheles
Enhancers are cis-regulatory elements that control developmental and spatial gene expression in eukaryotes. Enhancers have been little studied in mosquitoes, including the Anopheles vectors of malaria
Investigating the genetic basis of an organism’s phenotype typically focuses on genomic sequences annotated as genes. This traditional approach ignores repeated sequences such as transposable elements