Probabilistic sources: from sequences to systems

This monograph synthesizes several studies in average-case analysis of algorithms and in computational biology. Several works, spanning from the study of problems on sequences to systems biology, are presented. A unifying thread is followed: whatever the applications are, probabilistic sources of words plays the central role. These works find applications both in biological sequence analysis with a focus on the improvement of pattern matching algorithms and in the design of precise statistical tests, and in systems biology where strong collaborations with biologists permit to apply the developed methods to real living systems.

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Source https://theses.hal.science/tel-00776681
Author Bourdon, Jérémie
Maintainer CCSD
Last Updated May 15, 2026, 06:28 (UTC)
Created May 15, 2026, 06:28 (UTC)
Identifier tel-00776681
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Combi ; Laboratoire d'Informatique de Nantes Atlantique (LINA) ; Mines Nantes (Mines Nantes)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST) ; Université de Nantes (UN)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS)-Mines Nantes (Mines Nantes)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST) ; Université de Nantes (UN)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS)
creator Bourdon, Jérémie
date 2012-12-05T00:00:00
harvest_object_id e1bd5cc1-2008-4d6d-99fb-d73f13b17737
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2024-04-08T00:00:00
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