Bioinformatics, Phylogeny and Evolutionary Genomics

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LERAT Emmanuelle
emmanuelle.lerat@univ-lyon1.fr[][]
Laboratoire Biométrie et Biologie Evolutive (LBBE), CNRS UMR 5558, Université Lyon 1

Université Claude Bernard – Lyon 1

UMR-CNRS 5558 – Bat. Mendel

43 bd du 11 novembre 1918

69622 Villeurbanne cedex

France

Scientific Interest
Our group focuses on two main axes: phylogenomics (i.e. the inference of evolutionary history based on genomics data) and evolutionary genomics (understanding the molecular and population processes that drive genome evolution). Our works heavily rely on methodological developments (bioinformatics, modeling and statistical inference). Genomes are the result of a long-term evolutionary process, shaped by multiple evolutionary forces. Some genomic features are adaptive (beneficial for the fitness of organisms), others result from non-adaptive processes (random drift and biased gene conversion – BGC) or are caused by conflicts between multiple levels of selection (e.g. the spread of selfish genetic elements). We explore different aspects of genome architecture (base composition landscapes, genome structure and size, impact of transposable elements (TEs)) or functioning (gene expression, lncRNAs, epigenetic landscapes), and try to disentangle the relative contribution of adaptive and non-adaptive processes to their evolution. For this purpose, we consider both the molecular mechanisms and the population processes that shape genetic variation.

Database

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Bioinfo Tools

[{"name":"Retrotransposon-spread, tool for parameter evaluation of LTR retrotransposon propagation in a genome","url":"https://github.com/SergeMOULIN/retrotransposons-spread"},{"name":"One code to find them all, tool for the parsing and analysis of Repeat-Masker output files","url":"http://doua.prabi.fr/software/one-code-to-find-them-all"},{"name":"Htdetect, too for the detection of horizontal transfers by comparative analysis of complete genomes","url":"https://github.com/l-modolo/htdetect"},{"name":"TEtools, tool for the analysis of RNAseq and small-RNAseq data to study the expression of TEs","url":"https://github.com/l-modolo/Tetools"}]

 

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