INS2i

Dyliss

Acronyme ou nom de la structure
Nom complet (en toutes lettres)
DYnamics, Logics and Inference for biological Systems and Sequences
Adresse

IRISA & INRIA Rennes
Bat 12A
Campus de Beaulieu

35042 Rennes cedex
France

Téléphone
0299847100
Description (English)

Dyliss is a research team in bioinformatics. We focus on sequence analysis and systems biology. We use qualitative formal systems to characterize genetic actors from non model species, such as algae or mining baceria, that control phenotypic answers when challenged by their environment.

  • Methods: constraint logic programming, symbolic dynamics, machine learning, formal systems.
  • Expertise: functional characterization, non-model species, multi-scale integration.
  • Application domains: marine biology, micro-environmental biology...

The main computational challenge is to face lacks and incompleteness in both expert knowledge and experimental observations. Our strategy relies on three main points.

  • We focus on a targeted functional characterization rather than on a complete understanding of the species.
  • We rely on knowledge rather than on amounts of experimentations.
  • We use model-species to validate methods.

We use qualitative formal systems for knowledge acquisition and integration. All our methods aim at identifying the space of all models that are consistent with both knowledge and observations. Then we provide tools to navigate in this space in order to investigate which properties are shared by a large proportion of the space.

SFBI
Membre de la SFBI

ComBi

Acronyme ou nom de la structure
Nom complet (en toutes lettres)
Combinatoire et bioinformatique
Adresse

Laboratoire des Sciences du Numérique de Nantes (LS2N CNRS UMR6004)
2, rue de la Houssinière

44322 Nantes
France

Description (English)

The ComBi team at LINA aims at developping original algorithmic and mathematics methods for studying problems issued from biology. Its main research topics focus on comparative genomics and systems biology.

English keywords
Comparative genomics, systems biology
SFBI
Membre de la SFBI