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 : Drosophila melanogaster (Fruit fly)
Related people (1)
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
- Codon Usage Bias Analysis in Vibrio(Marie-Eve KENNEDY-VAL - Bacterial Genome Plasticity) - In Progress
- Gene conversion and allelic selection drives L. donovani genomic adaptation in experimental Sand fly infection(Gerald SPAETH - Molecular Parasitology and Signaling) - In Progress
- The LeiSHield-MATI consortium: Investigating genomic adaptation of Leishmania parasites in endemic areas(Gerald SPAETH - Molecular Parasitology and Signaling) - In Progress
Related projects (2)
We have performed a systemic characterisation of apoptosis distribution and clone dynamics in the Drosophila wing imaginal disc. Surprisingly, we outlined a systematic spatial bias in the rate of apoptosis with regions shoing high rates of apoptosis which correlate with high probability of clone disappearance and small clone size. We would like to formulate analytically the prediction of local clone size assuming a homogenous proliferation rate and knowing spatial differences in clone disappearance probability. This will help to evaluate how much the spatial differences in apoptic rates are sufficient to explain the differences in local growth.
Transcriptional analysis of niche cells in the context of tumour progression in the Drosophila brain
We are interested in the behaviour of healthy cells in the context of tumour growth in the Drosophila brain We want to know the genes changing in healthy cells response to the tumour.