Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Samuele Bottani"'
Publikováno v:
Nature Genetics. 31:60-63
Interpretation of high-throughput biological data requires a knowledge of the design principles underlying the networks that sustain cellular functions. Of particular importance is the genetic network, a set of genes that interact through directed tr
Autor:
Rainer Siebert, Hervé Tricoire, Zahia Djouadi, Samuele Bottani, Marie-Alix Duval, Luc Valentin
Publikováno v:
Journal of Chromatography A. 894:231-239
An original apparatus based on laser-induced fluorescence detection is presented. One lane migration combined to four equidistant detection points allows the study of the dynamics of DNA bands during electrophoresis. We focus this article on the stud
Publikováno v:
Journal of Chromatography A. 844:433-438
The sensitivity of laser-induced fluorescence detection in capillary electrophoresis is generally limited by noise due to scattering of the excitation beam on the capillary walls. The highest sensitivities have been obtained with post-capillary detec
Autor:
Bertrand Delamotte, Samuele Bottani
Publikováno v:
Physica D: Nonlinear Phenomena. 103:430-441
We reexamine the dynamics of the Olami, Feder and Christensen (OFC) model. We show that, depending on the dissipation, it exhibits two different behaviors and that it can or cannot show self - organized - criticality (SOC) and/or synchronization. We
Publikováno v:
Biocomputing 2011 ISBN: 9789814335058
Pacific Symposium on Biocomputing
Scopus-Elsevier
Pacific Symposium on Biocomputing
Scopus-Elsevier
To decipher the dynamical functioning of cellular processes, the method of choice is to observe the time response of cells subjected to well controlled perturbations in time and amplitude. Efficient methods, based on molecular biology, are available
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b547f6ffc130cfe66cf142974ef5731
https://doi.org/10.1142/9789814335058_0035
https://doi.org/10.1142/9789814335058_0035
Autor:
Jacques Mallet, Aurélien J. Mazurie, Florence d'Alché-Buc, Samuele Bottani, Bruno-Edouard Perrin, Liva Ralaivola
Publikováno v:
Bioinformatics
Bioinformatics, Oxford University Press (OUP), 2003, 19 (Suppl. 2), pp.138-148. ⟨10.1093/bioinformatics/btg1071⟩
Bioinformatics, 2003, 19 (Suppl. 2), pp.138-148. ⟨10.1093/bioinformatics/btg1071⟩
ECCB
Bioinformatics, Oxford University Press (OUP), 2003, 19 (Suppl. 2), pp.138-148. ⟨10.1093/bioinformatics/btg1071⟩
Bioinformatics, 2003, 19 (Suppl. 2), pp.138-148. ⟨10.1093/bioinformatics/btg1071⟩
ECCB
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactions capable of handling missing variables is proposed. It can be describe
Publikováno v:
Proceedings. Biological sciences. 268(1485)
The effects of migration in a network of patch populations, or metapopulation, are extremely important for predicting the possibility of extinctions both at a local and a global scale. Migration between patches synchronizes local populations and best