Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Bruno Daigle"'
Autor:
Mohamed Amine Remita, Ahmed Halioui, Abou Abdallah Malick Diouara, Bruno Daigle, Golrokh Kiani, Abdoulaye Baniré Diallo
Publikováno v:
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-11 (2017)
Abstract Background Advances in cloning and sequencing technology are yielding a massive number of viral genomes. The classification and annotation of these genomes constitute important assets in the discovery of genomic variability, taxonomic charac
Externí odkaz:
https://doaj.org/article/df68a0e15de04175af6852473dc62203
Autor:
Bruno Daigle, Abou Abdallah Malick Diouara, Golrokh Kiani, Ahmed Halioui, Abdoulaye Baniré Diallo, Mohamed Amine Remita
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-11 (2017)
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-11 (2017)
Background Advances in cloning and sequencing technology are yielding a massive number of viral genomes. The classification and annotation of these genomes constitute important assets in the discovery of genomic variability, taxonomic characteristics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4341617749abef448aa74c974e53795a
http://europepmc.org/articles/PMC5387389
http://europepmc.org/articles/PMC5387389
Autor:
Mohamed Amine Remita, Bruno Daigle, Golrokh Kiani, Abdoulaye Baniré Diallo, Abou Abdallah Malick Diouara, Ahmed Halioui
MotivationAdvances in cloning and sequencing technology yielded a massive number of genome of virus strains. The classification and annotation of these genomes constitute important assets in the discovery of genomic variability, taxonomic characteris
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::736131a21051b461f104f09cc9ad4356
https://doi.org/10.1101/082768
https://doi.org/10.1101/082768
Publikováno v:
Data Science, Learning by Latent Structures, and Knowledge Discovery ISBN: 9783662449820
ECDA
ECDA
The classification of the hundreds of papillomaviruses (PVs) still constitutes a major issue in virology, disease diagnosis, and therapy. Since 2003, PVs are classified within three levels of hierarchical clusters according to their similarity and th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4860b91c753d5db6dbe60d3be6d13bd
https://doi.org/10.1007/978-3-662-44983-7_27
https://doi.org/10.1007/978-3-662-44983-7_27
Publikováno v:
Data Science, Learning by Latent Structures & Knowledge Discovery; 2015, p309-318, 10p
Publikováno v:
Data Science, Learning by Latent Structures & Knowledge Discovery; 2015, pi-xxii, 22p
This volume comprises papers dedicated to data science and the extraction of knowledge from many types of data: structural, quantitative, or statistical approaches for the analysis of data; advances in classification, clustering and pattern recogniti