Zobrazeno 1 - 3
of 3
pro vyhledávání: '"David Guevara-Barrientos"'
Publikováno v:
Bioinformatics and Biology Insights, Vol 18 (2024)
COVID 19 pandemic is still ongoing, having taken more than 6 million human lives with it, and it seems that the world will have to learn how to live with the virus around. In consequence, there is a need to develop different treatments against it, no
Externí odkaz:
https://doaj.org/article/305bc8a5416941038d9ed9fdf201edca
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 796-801 (2023)
Summary: Machine learning algorithms have been successfully applied in proteomics, genomics and transcriptomics. and have helped the biological community to answer complex questions. However, most machine learning methods require lots of data, with e
Externí odkaz:
https://doaj.org/article/f60c62f82a8042a58ac334da5dba7959
Autor:
Laura Gonzalez-Garcia, David Guevara-Barrientos, Daniela Lozano-Arce, Juanita Gil, Jorge Díaz-Riaño, Erick Duarte, Germán Andrade, Juan Camilo Bojacá, Maria Camila Hoyos-Sanchez, Christian Chavarro, Natalia Guayazan, Luis Alberto Chica, Maria Camila Buitrago Acosta, Edwin Bautista, Miller Trujillo, Jorge Duitama
Publikováno v:
Life Science Alliance. 6:e202201719
Building de novo genome assemblies for complex genomes is possible thanks to long-read DNA sequencing technologies. However, maximizing the quality of assemblies based on long reads is a challenging task that requires the development of specialized d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::533e62edbabd8a47e991897e2aa5a80d
https://doi.org/10.26508/lsa.202201719
https://doi.org/10.26508/lsa.202201719