Pierre-Emmanuel Gros

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Biologists are leading current research on genome characterization (sequencing, alignment, transcription), providing a huge quantity of raw data about many genome organisms. Extracting knowledge from this raw data is an important process for biologists, using usually data mining approaches. However, it is difficult to deals with these genomic information(More)
In this paper, we address the potentialities offered by Virtual Reality and scientific simulation for 3D modeling and immersive visualization of huge genomic sequences. Advanced work on 3D data modeling and structuring is proposed. In Bioinformatics, DNA sequences are often represented within linear format. However, they also have a three-dimensional(More)
In this paper, we address the potential offered by Virtual Reality for 3D modeling and immersive visualization of large genomic sequences. The representation of the 3D structure of DNA allows biologists to observe and analyze genomes in an interactive way at different levels. We developed a powerful software platform that provides a new point of view for(More)
Huge volumes of bioinformatics data are emerging from sequencing efforts, gene expression assays, X-ray crystallography of proteins, and many other activities. High-throughput experimental methods produce masses of data, so that the whole of biology has changed from a data-light science into a data-driven science. Currently there are a lot of databases and(More)
Genomic information shows some characteristics that make them very difficult to interpret and to exploit. Such data constitute an important factual resource (GenBank, SwissProt, GeneOntology, or Decrypthon…), are heterogeneous, huge in quantity, and are geographically distributed. They are also recorded in structured or semi-structured formats within public(More)
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