Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Eric Viara"'
Autor:
Gautier Stoll, Aurélien Naldi, Vincent Noël, Eric Viara, Emmanuel Barillot, Guido Kroemer, Denis Thieffry, Laurence Calzone
Publikováno v:
Frontiers in Molecular Biosciences, Vol 9 (2022)
Mathematical modeling aims at understanding the effects of biological perturbations, suggesting ways to intervene and to reestablish proper cell functioning in diseases such as cancer or in autoimmune disorders. This is a difficult task for obvious r
Externí odkaz:
https://doaj.org/article/f02489663d454c70affc8aba62e58595
Autor:
Vincent Noël, Marco Ruscone, Gautier Stoll, Eric Viara, Andrei Zinovyev, Emmanuel Barillot, Laurence Calzone
Publikováno v:
Frontiers in Molecular Biosciences, Vol 8 (2021)
WebMaBoSS is an easy-to-use web interface for conversion, storage, simulation and analysis of Boolean models that allows to get insight from these models without any specific knowledge of modeling or coding. It relies on an existing software, MaBoSS,
Externí odkaz:
https://doaj.org/article/c73a9529cc74419b8da3665900c401e7
Autor:
Denis Thieffry, Eric Viara, Guido Kroemer, Gautier Stoll, Noël, Laurence Calzone, Aurélien Naldi, Emmanuel Barillot
One of the aims of mathematical modeling is to understand and simulate the effects of biological perturbations and suggest ways to intervene and reestablish proper cell functioning. However, it remains a challenge, especially when considering the dyn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::447cb56f39d6a6870dff2dcb028c83d9
https://doi.org/10.1101/2020.05.31.126094
https://doi.org/10.1101/2020.05.31.126094
Autor:
Inna Kuperstein, David P. A. Cohen, Eric Viara, Laurence Calzone, Eric Bonnet, Emmanuel Barillot, Andrei Zinovyev
Publikováno v:
Nucleic Acids Research
Data visualization is an essential element of biological research, required for obtaining insights and formulating new hypotheses on mechanisms of health and disease. NaviCell Web Service is a tool for network-based visualization of ‘omics’ data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e5a91ab86192bd6b7eb90cbcbf777ac
https://doi.org/10.1093/nar/gkv450
https://doi.org/10.1093/nar/gkv450
Autor:
Andrei Zinovyev, Laurence Calzone, Aurélien Naldi, Aurelien Dugourd, Eric Viara, Guido Kroemer, Gautier Stoll, Barthélémy Caron, Emmanuel Barillot
Publikováno v:
Bioinformatics (Oxford, England). 33(14)
Motivation Modeling of signaling pathways is an important step towards the understanding and the treatment of diseases such as cancers, HIV or auto-immune diseases. MaBoSS is a software that allows to simulate populations of cells and to model stocha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88e643ee5f68f007e9c9c37e704e675b
https://pubmed.ncbi.nlm.nih.gov/28881959
https://pubmed.ncbi.nlm.nih.gov/28881959
Publikováno v:
Database: The Journal of Biological Databases and Curation
Human diseases such as cancer are routinely characterized by high-throughput molecular technologies, and multi-level omics data are accumulated in public databases at increasing rate. Retrieval and visualization of these data in the context of molecu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15078927db961e4dfab4b82c5505eca8
https://pubmed.ncbi.nlm.nih.gov/28415074
https://pubmed.ncbi.nlm.nih.gov/28415074
Autor:
Emmanuel Barillot, Jean-Philippe Vert, Edith Heard, Eric Viara, Bryan R. Lajoie, Nelle Varoquaux, Chong-Jian Chen, Nicolas Servant, Job Dekker
Publikováno v:
Genome Biology
Genome Biology, BioMed Central, 2015, 16, pp.259. ⟨10.1186/s13059-015-0831-x⟩
Genome Biology, 2015, 16, pp.259. ⟨10.1186/s13059-015-0831-x⟩
Genome Biology, BioMed Central, 2015, 16, pp.259. ⟨10.1186/s13059-015-0831-x⟩
Genome Biology, 2015, 16, pp.259. ⟨10.1186/s13059-015-0831-x⟩
HiC-Pro is an optimized and flexible pipeline for processing Hi-C data from raw reads to normalized contact maps. HiC-Pro maps reads, detects valid ligation products, performs quality controls and generates intra- and inter-chromosomal contact maps.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a10b5b305285bb7486d6256b509f3317
https://doi.org/10.1186/s13059-015-0831-x
https://doi.org/10.1186/s13059-015-0831-x
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics (16), . (2015)
BMC Bioinformatics, 2015, 16 (1), pp.262:1-10. ⟨10.1186/s12859-015-0695-9⟩
BMC Bioinformatics, BioMed Central, 2015, 16 (1), pp.262:1-10. ⟨10.1186/s12859-015-0695-9⟩
BMC Bioinformatics (16), . (2015)
BMC Bioinformatics, 2015, 16 (1), pp.262:1-10. ⟨10.1186/s12859-015-0695-9⟩
BMC Bioinformatics, BioMed Central, 2015, 16 (1), pp.262:1-10. ⟨10.1186/s12859-015-0695-9⟩
Background Detecting and quantifying isoforms from RNA-seq data is an important but challenging task. The problem is often ill-posed, particularly at low coverage. One promising direction is to exploit several samples simultaneously. Results We propo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98cf12724a6c599c958e2fa65ae643a0
https://pubmed.ncbi.nlm.nih.gov/26286719
https://pubmed.ncbi.nlm.nih.gov/26286719
Publikováno v:
Bioinformatics. 14:342-348
MOTIVATION: Links between biological objects are frequently used by researchers in biology. However, many of the links found in public databases are insufficiently documented and difficult to retrieve. Virgil introduces the idea of a rich link, i.e.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0895ebee1dac334d308ba4377f0b37d0
https://doi.org/10.1093/bioinformatics/14.4.342
https://doi.org/10.1093/bioinformatics/14.4.342
Publikováno v:
Microprocessing and Microprogramming. 30:167-174
The IRCAM Signal Processing Workstation (ISPW) is a rapid prototyping environment for real-time signal and event processing. The principal components of the ISPW described in this paper are a high-speed calculation engine, a real-time operating syste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5258c2a9db0f7eb64f4a4bc56da25ac
https://doi.org/10.1016/0165-6074(90)90235-2
https://doi.org/10.1016/0165-6074(90)90235-2