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| About the project : Project-Team site Activity report Videos and photos Research reports Theses Theme : Bio Biological systems Grenoble - Rhône-Alpes research center |
This Research-Team is a follow-up of SHERPA Research-Team
This Research-Team is a follow-up of ROMANS Research-Team
The HELIX project-team is based in Grenoble (Montbonnot) and in Lyon (Villeurbanne), where it involves the group `Biométrie moléculaire, évolution et structure des génomes' within the UMR `Biométrie et biologie évolutive' (CNRS - Université Claude Bernard).
The objectives of the HELIX project-team are the design and the development of methods and tools for modeling and analyzing genomic data. These data comprise, in addition to biological sequences, a diversity of other experimental data. In every instance, the research activities of the project are dictated by biological questions, and the results, in the form of algorithms and computer tools, are evaluated as to their relevance in computer science and biology.
Sequence analysis. The objective is to design search and alignment algorithms that are at the same time effective and efficient. On this subject, the HELIX project-team participates in the development of a didactic environment for bioinformatics.
Comparative genomics. The basic idea consists of inferring knowledge on the genome of a certain species from available information on other species, by exploiting the conservation of certain properties, such as the order or the association of genes. Phylogenetic relations are a primary source of information for this purpose.
Modeling and simulation of genetic regulatory networks. The absence of, especially, quantitative data, leads to the exploration of qualitative methods.
Integration of genomic and post-genomic data. Models associating the description of classes of objects and their relations allow the development of knowledge bases integrating several biological levels, ranging from genes to metabolic networks.
Extraction of information from texts. The scientific literature remains an important source of data, from which information can be retrieved or extracted by means of approaches combining techniques from computational linguistics and knowledge representation.
