Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Camila Riccio-Rengifo"'
Autor:
Mauricio Peñuela, Camila Riccio-Rengifo, Jorge Finke, Camilo Rocha, Anestis Gkanogiannis, Rod A. Wing, Mathias Lorieux
Publikováno v:
PLoS ONE, Vol 18, Iss 2 (2023)
Meiotic recombination is a crucial cellular process, being one of the major drivers of evolution and adaptation of species. In plant breeding, crossing is used to introduce genetic variation among individuals and populations. While different approach
Externí odkaz:
https://doaj.org/article/f6cf276c90864d4597b0dd47e22307a6
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-17 (2021)
Abstract Background This paper proposes a workflow to identify genes that respond to specific treatments in plants. The workflow takes as input the RNA sequencing read counts and phenotypical data of different genotypes, measured under control and tr
Externí odkaz:
https://doaj.org/article/4a22b65359fc44658a31be3ba4f43c55
Autor:
Chrystian C. Sosa, Diana Carolina Clavijo-Buriticá, Victor Hugo García-Merchán, Nicolas López-Rozo, Camila Riccio-Rengifo, Maria Victoria Diaz, David Arango Londoño, Mauricio Alberto Quimbaya
Publikováno v:
Genomics. 115:110528
Functional enrichment analysis is a cornerstone in bioinformatics as it makes possible to identify functional information by using a gene list as source. Different tools are available to compare gene ontology (GO) terms, based on a directed acyclic g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b9029c0341fac8e9099c1ee1ca9c612
https://doi.org/10.1016/j.ygeno.2022.110528
https://doi.org/10.1016/j.ygeno.2022.110528
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-17 (2021)
BMC Bioinformatics
BMC Bioinformatics
Background This paper proposes a workflow to identify genes that respond to specific treatments in plants. The workflow takes as input the RNA sequencing read counts and phenotypical data of different genotypes, measured under control and treatment c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a3d5ccf0b26b53936868ae32440a36f
