Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Luan Pinto Rabelo"'
Autor:
Luan Pinto Rabelo, Davidson Sodré, Rodrigo Petry Corrêa de Sousa, Luciana Watanabe, Grazielle Gomes, Iracilda Sampaio, Marcelo Vallinoto
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-16 (2024)
Abstract Background The reconstruction of the evolutionary history of organisms has been greatly influenced by the advent of molecular techniques, leading to a significant increase in studies utilizing genomic data from different species. However, th
Externí odkaz:
https://doaj.org/article/81affe31adc245b183b092c86b2acc75
Autor:
Valdemiro Muhala, Aurycéia Guimarães-Costa, Adam Rick Bessa-Silva, Luan Pinto Rabelo, Jeferson Carneiro, Isadola Eusébio Macate, Luciana Watanabe, Oscar David Balcázar, Grazielle Evangelista Gomes, Marcelo Vallinoto, Iracilda Sampaio
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Fish mitochondrial genome have been largely studied worldwide for evolutionary and other genetic purposes and the structure and gene organization are commonly conservative. However, several studies have demonstrated that this scenario may pr
Externí odkaz:
https://doaj.org/article/5132cdb25df64b3480ca9dede4e6fee4
Autor:
Valdemiro Muhala, Aurycéia Guimarães-Costa, Isadola Eusébio Macate, Luan Pinto Rabelo, Adam Rick Bessa-Silva, Luciana Watanabe, Gisele Damasceno Dos Santos, Luísa Sambora, Marcelo Vallinoto, Iracilda Sampaio
Publikováno v:
PLoS ONE, Vol 19, Iss 2, p e0293345 (2024)
The ichthyological provinces of Mozambique are understudied hotspots of global fish diversity. In this study, we applied DNA barcoding to identify the composition of the fish fauna from the coast of Mozambique. A total of 143 species belonging to 104
Externí odkaz:
https://doaj.org/article/a26f44dad5f74ccf891e924c975bd467
Autor:
Luan Pinto Rabelo, Davidson Sodré, Marcelo Soares dos Santos, Caio César Silva Lima, Stephen F. Ferrari, Iracilda Sampaio, Marcelo Vallinoto
Publikováno v:
Evolution: Education and Outreach, Vol 15, Iss 1, Pp 1-10 (2022)
Abstract Intelligent Personal Assistants (IPAs), such as Amazon’s Alexa, are now widely used for an ample variety of tasks, ranging from personal management to education. These tools have shown considerable promise for student-educator interactions
Externí odkaz:
https://doaj.org/article/2e74264752b544429463aea624c4578f