Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Cristian Zambrano"'
Autor:
Cristian Zambrano-Forero, Lina Dávila-Giraldo, Viviana Motato-Vásquez, Paula Villanueva, Iang Rondón-Barragán, Walter Murillo‑Arango
Publikováno v:
Biodiversity Data Journal, Vol 11, Iss , Pp 1-56 (2023)
Macrofungi are classified in the phylum Ascomycota and Basidiomycota and they are very important from an ecological and economic point of view. Most studies of fungi in Colombia have been carried out mainly in the Andean Region, especially in the Dep
Externí odkaz:
https://doaj.org/article/af8079ad05994674924db8780eada543
Publikováno v:
Bio-Protocol, Vol 13, Iss 19 (2023)
Macrofungi, also known as mushrooms, can produce various bioactive compounds, including exopolysaccharides (EPS) with distinct biological properties and subsequent industrial applications in the preparation of cosmetics, pharmaceuticals, and food pro
Externí odkaz:
https://doaj.org/article/ed2ffc07aef04a8e837a18e319bebf7b
Publikováno v:
Latin-American Journal of Computing, Vol 4, Iss 2, Pp 19-27 (2017)
One of the most relevant problems in Bioinformaticsand Computational Biology is the search and reconstruction ofthe most accurate phylogenetic tree that explains, as exactly aspossible, the evolutionary relationships among species from agiven dataset
Externí odkaz:
https://doaj.org/article/77fc08af000a4bd6a849f1eee2396096
Publikováno v:
Latin-American Journal of Computing, Vol 3, Iss 1, Pp 43-51 (2016)
Multiple Sequence Alignment (MSA) is one of the main topics in the bioinformatics domain, consists in finding an optimal alignment for three or more biological sequences with the number maximum of conserved zones or totally aligned columns. Differen
Externí odkaz:
https://doaj.org/article/80147cc7aaff43cf92411dd9daa75454
Autor:
Seyed Mehdi Jazayeri, Ronald Oswaldo Villamar-Torres, Cristian Zambrano-Vega, Luz Cecilia García Cruzatty, Byron Oviedo-Bayas, Milena do Amaral Santos, Naga Raju Maddela, Seyed Mohammad Hossein Ale Seyed Ghafoor, Christopher Viot
Publikováno v:
Plant Breeding
Bragantia, Vol 79, Iss 1, Pp 30-46 (2020)
Bragantia, Volume: 79, Issue: 1, Pages: 30-46, Published: 13 MAR 2020
Bragantia v.79 n.1 2020
Bragantia
Instituto Agronômico de Campinas (IAC)
instacron:IAC
Bragantia, Vol 79, Iss 1, Pp 30-46 (2020)
Bragantia, Volume: 79, Issue: 1, Pages: 30-46, Published: 13 MAR 2020
Bragantia v.79 n.1 2020
Bragantia
Instituto Agronômico de Campinas (IAC)
instacron:IAC
Three Gossypium species have been used to breed cotton as they vary in their fiber production and resistance to stresses. Transcription factors (TFs) mostly are present in different copies or isoforms by which they conduct their regulation. Their cop
Publikováno v:
International Journal of Electrical Power & Energy Systems. 104:924-932
Efficient provision of electricity requires timely expansions of power transmission capacity. However, regulation does not always send the right signals to generate the required (and timely) investments. Therefore, it is important to evaluate the eff
Autor:
Cesar Trujillo, Juan David Perez, Cristian Zambrano, Jose Pestana, Gustavo Ramos, Miguel Hernandez, Natalia Avendano, David Celeita, Andres Alba, Camilo Cardenas
Publikováno v:
2020 IEEE/IAS 56th Industrial and Commercial Power Systems Technical Conference (I&CPS).
This work introduces the design and implementation of a realistic simulation platform to teach distribution management systems (DMS) and smart grids research testing. The laboratory known as GridTeractions has a client/server structure that allows us
Publikováno v:
Revista Lasallista de Investigación, Volume: 15, Issue: 2, Pages: 210-222, Published: DEC 2018
espanolResumen Introduccion:. En este trabajo se presenta una propuesta para aplicar la meta-heuristica Optimizacion Basada en Mallas Variables (VMO) al problema discreto del Viajero Vendedor (TSP); este modelo explora el espacio de busqueda a Objeti
Autor:
Antonio J. Nebro, José García-Nieto, Cristian Zambrano-Vega, Juan J. Durillo, José F. Aldana-Montes
Publikováno v:
International Journal of Intelligent Systems. 32:843-861
Multiple sequence alignment (MSA) plays a core role in most bioinformatics studies and provides a framework for the analysis of evolution in biological systems. The MSA problem consists in finding an optimal alignment of three or more sequences of nu
Publikováno v:
Progress in Artificial Intelligence. 6:195-210
Multiple sequence alignment (MSA) is an optimization problem consisting in finding the best alignment of more than two biological sequences according to a number of scores or objectives. In this paper, we consider a three-objective formulation of MSA