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pro vyhledávání: '"Gadelha, JR"'
Reproducibility is a fundamental requirement of the scientific process since it enables outcomes to be replicated and verified. Computational scientific experiments can benefit from improved reproducibility for many reasons, including validation of r
Externí odkaz:
http://arxiv.org/abs/1909.00271
Autor:
Gadelha Jr., Luiz M. R., de Siracusa, Pedro C., Ziviani, Artur, Dalcin, Eduardo Couto, Affe, Helen Michelle, de Siqueira, Marinez Ferreira, da Silva, Luís Alexandre Estevão, Augusto, Douglas A., Krempser, Eduardo, Chame, Marcia, Costa, Raquel Lopes, Meirelles, Pedro Milet, Thompson, Fabiano
Publikováno v:
WIREs Data Mining and Knowledge Discovery (2020)
The unprecedented size of the human population, along with its associated economic activities, have an ever increasing impact on global environments. Across the world, countries are concerned about the growing resource consumption and the capacity of
Externí odkaz:
http://arxiv.org/abs/1810.00224
Autor:
Mondelli, Maria Luiza, Magalhães, Thiago, Loss, Guilherme, Wilde, Michael, Foster, Ian, Mattoso, Marta, Katz, Daniel S., Barbosa, Helio J. C., Vasconcelos, Ana Tereza R., Ocaña, Kary, Gadelha Jr, Luiz M. R.
Publikováno v:
PeerJ, 6 (2018), e5551
Advances in sequencing techniques have led to exponential growth in biological data, demanding the development of large-scale bioinformatics experiments. Because these experiments are computation- and data-intensive, they require high-performance com
Externí odkaz:
http://arxiv.org/abs/1801.03915
Autor:
Maria Luiza Mondelli, Thiago Magalhães, Guilherme Loss, Michael Wilde, Ian Foster, Marta Mattoso, Daniel Katz, Helio Barbosa, Ana Tereza R. de Vasconcelos, Kary Ocaña, Luiz M.R. Gadelha Jr
Publikováno v:
PeerJ, Vol 6, p e5551 (2018)
Advances in sequencing techniques have led to exponential growth in biological data, demanding the development of large-scale bioinformatics experiments. Because these experiments are computation- and data-intensive, they require high-performance com
Externí odkaz:
https://doaj.org/article/1913b3e06e6446db80d4e6a62bb80769
Publikováno v:
In Future Generation Computer Systems 2011 27(6):775-780
Akademický článek
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Akademický článek
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Autor:
Milet Meirelles, Pedro1,2 (AUTHOR), Gadelha Jr., Luiz M. R.3 (AUTHOR), Bastos Francini-Filho, Ronaldo4 (AUTHOR), Leão de Moura, Rodrigo1,2 (AUTHOR), Menezes Amado-Filho, Gilberto5 (AUTHOR), Cardoso Bastos, Alex6 (AUTHOR), Pinheiro da Rocha Paranhos, Rodolfo1 (AUTHOR), Eduardo Rezende, Carlos7 (AUTHOR), Swings, Jean1,2 (AUTHOR), Siegle, Eduardo8 (AUTHOR), Asp Neto, Nils Edvin9 (AUTHOR), Neumann Leitão, Sigrid10 (AUTHOR), Coutinho, Ricardo11 (AUTHOR), Mattoso, Marta12 (AUTHOR), Salomon, Paulo S.1,2 (AUTHOR), Valle, Rogério A. B.2 (AUTHOR), Crespo Pereira, Renato13 (AUTHOR), Henrique Kruger, Ricardo14 (AUTHOR), Thompson, Cristiane1,3 (AUTHOR), Thompson, Fabiano L.1,3 (AUTHOR) fabianothompson1@gmail.com
Publikováno v:
Database: The Journal of Biological Databases & Curation. 2015, Vol. 2015, p1-10. 10p. 2 Color Photographs, 1 Black and White Photograph, 1 Chart.
BackgroundThere are many steps in analyzing transcriptome data, from the acquisition of raw data to the selection of a subset of representative genes that explain a scientific hypothesis. The data produced may additionally be integrated with other bi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::887783dd5624c685e989648789b11cae
https://doi.org/10.1101/095257
https://doi.org/10.1101/095257