Contact information
GenScale Team
INRIA Rennes Bretagne Atlantique
Campus de Beaulieu
35042 Rennes cedex, France
Phone: +33 (0) 2 99 84 71 16
E-mail: claire dot lemaitre at inria dot fr
Twitter: @ClaireLemaitre

I am a full-time Inria researcher in computational biology.

I am currently working in the GenScale Team (formerly Symbiose Team) in the IRISA-INRIA laboratory in Rennes.

I am also part of the scientific board of the national bioinformatics network GDR BIM (Bioinformatics for Molecular Biology), and I co-animate the french "Groupe de Travail" seqBIM in sequence algorithmics.


[March 2021]
SARS-CoV-2 and bioinformatics: with the GDR BIM, we produced a science popularization report on how Bioinformatics is playing a key role in the study of the virus and its origins.

[Dec 2020]
Two PhD defenses to come in December (4th and 11th), that I am proud to have supervised ! Structural Variations are in the spotlight with Lolita Lecompte and Wesley Delage !

[Nov 2020]
Towards a better understanding of the low recall of insertion variants with short-read based variant callers. Our results on large human insertion variant characterization and how their features impact the recall of short-read based SV callers are out in BMC Genomics

[Sept 2020]
Welcoming Pierre Morisse for a 2-year postdoctoral fellowship in our team to develop novel methods for Structural Variation detection with linked-reads sequencing data, and applications to the mimetic butterfly Heliconius numata.

[July 2020]
Finding viral DRJ excision sites with sequencing data : a method I developped a long time ago to refine breakpoints is finally published within the analysis of two genomes of parasitic wasps having peculiar endogenous viruses. Paper in BMC Biology. The method, DrjBreakpointFinder, is available on github.

[July 2020]
MinYS is published in NAR Genomics and Bioinformatics ! : MinYS (for Mine Your Symbiont) is a new software developped with a former PhD student, Cervin Guyomar, for targeted genome assembly with metagenomics data. Freely avaiblable on github

[June 2020]
SVJedi finally published in Bioinformatics ! SVJedi is a new software developped by my PhD student, Lolita Lecompte, to genotype SVs with long read sequencing datasets. Freely avaiblable on github

[June 2020]
DiscoSnpRad finally published in PeerJ ! DiscoSnpRAD is a software to discover SNPs and small indels in RAD-like sequencing datasets. Freely avaiblable on github

[Nov 2019]
New software : SVJedi is a new software developped by my PhD student Lolita Lecompte to genotype SVs in long read sequencing datasets. See also the preprint in BioRxiv, where SVJedi is applied on a real human dataset (HG002, GiaB SV callset)