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

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Searched keyword : Anopheles gambiae (African malaria mosquito)

Related people (1)


Group : PLATEFORM - Detached : Epigenetic regulation

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
Projects (3)

Related projects (6)

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. Understanding these responses will contribute to identify relevant strategies to interrupt the transmission of P. vivax by targeting the mosquito vector. Such approaches are urgently needed, as P. vivax is difficult to target on the long term in humans as a consequence of the hypnozoite stage that is responsible for relapses. This project will investigate the molecular response of Anopheles arabiensis, member of the Anopheles gambiae complex, to P. vivax from experimental infections performed in Madagascar where both mosquito and parasite are present. This is a unique situation that will capitalize on the strong knowledge and tools available for An. gambiae sensu lato. The response will be compared to the one triggered by P. falciparum, also present in Madagascar. From mosquitoes infected in a field setting, a transcriptomic (RNAseq) approach will be used to identify common and unique pathways to both parasite species. These analyses will further contribute to identify targets for interrupting transmission of each or both parasites simultaneously. However, a pilot study performed with the PF transcriptomics & epigenomics revealed that the current release of the An. arabiensis genome is poorly annotated. Therefore, to be able to make sens of the RNAseq analyses per se, a strong support from the C3BI Hub for bioinformatics and biostatistics is critical.

Project status : Closed