Research Team EA 4108 |
Data Processing in Biology & Health (LITIS)
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TIBS
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HeadPr Lecroq |
ContactTIBS - LITIS EA 4108 CURIB UFR Sciences & Techniques University of Rouen Normandy 76821 Mont-Saint-Aignan Cedex, France Phone: +33 235 1460 13 thierry.lecroq@univ-rouen.fr |
https://www.litislab.fr/equipe/index/tibs
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Research TopicsIndexing and information retrieval in two main areas: biology and health: - sequence algorithmics - biostatistics - analysis of NGS data in genomics, transcriptomics and proteomics - knowledge management in health: semantic annotation and systems interoperability |
Composition11 staffs (teacher-researchers) 1 PhD student 1 Engineer |
FacilitiesComputings facilities of the Computer Science Laboratory LITIS located in the data center of the University of Rouen Normandy |
ActivityTIBS group is one of 7 teams of the LITIS laboratory (Director: Laurent Heutte). The group aims at indexing and searching for information in biology and health data. It collaborates with different labs of the University of Rouen Normandy (Inserm U1239, Inserm U1245, Inserm U1234, GlycoMev EA 4358, ...) and also with other bioinformatics and health informatics groups in France (LIRMM, IRISA, CRIStAL, LIMICS, ...) and has strong connections with computer science groups troughout the world (Catania, Seoul, ...) |
Main Contributions- miRabel: A simple and efficient miRNA target prediction tool (http://bioinfo.univ-rouen.fr/mirabel/index.php) - Package R SMM: Simulation and Estimation of Multi-State Discrete-Time Semi-Markov and Markov Models (https://cran.r-project.org/web/packages/SMM/index.html) - HG-CoLoR: hybrid correction of third generation sequencing data (https://github.com/morispi/HG-CoLoR) - ELECTOR: evaluation tool of third generation sequencing data methods (https://github.com/kamimrcht/ELECTOR) - CONSENT: self-correction of third generation sequencing data (https://github.com/morispi/ CONSENT) - analysis of gene expression profiles of tumors by RT-MLPA (reverse transcriptase multiplex ligation dependant probe amplification) (https://bioinfo.calym.org/RTMLPA) - UMI-VarCal: low frequency variang calling using UMI (https://gitlab.com/vincent-sater/umi-varcal-master) - UMI-Gen: a UMI-based reads simulator for variant calling evaluation in paired-end sequencing NGS libraries (https://gitlab.com/vincent-sater/umigen) |
Main Publications2020
2019
2018 |