GenFlow: generic flow for integration, management and analysis of molecular biology data

Autor: Marcio Katsumi Oikawa, Marcos Eduardo Bolelli Broinizi, Alexandre Dermargos, Hugo Aguirre Armelin, João Eduardo Ferreira

Publikováno v: Genetics and Molecular Biology, Vol 27, Iss 4, Pp 691-695 (2004)

A large number of DNA sequencing projects all over the world have yielded a fantastic amount of data, whose analysis is, currently, a big challenge for computational biology. The limiting step in this task is the integration of large volumes of data

Externí odkaz: https://doaj.org/article/5a40e2c215c744fda1483358a1ebdff1

Evolutionary ad ranking for computational advertising

Autor: Marcos Eduardo Bolelli Broinizi

Publikováno v: Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP

Otimizar simultaneamente os interesses dos usuários, anunciantes e publicadores é um grande desafio na área de publicidade computacional. Mais precisamente, a ordenação de anúncios, ou ad ranking, desempenha um papel central nesse desafio. Por

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbe2d6a7b53bb3b1f7018325e0c10e0b

Using annotations in the naked objects framework to explore data requirements

Autor: Alfredo Goldman, João Eduardo Ferreira, Marcos Eduardo Bolelli Broinizi

Publikováno v: SAC

The creation of conceptual data design that appropriately represents specific application domain is one of the main challenges in requirements engineering. An initiative to help designers is the Naked Objects framework, where it is possible to intera

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::540a554df507da7673d29b500d912f28
https://doi.org/10.1145/1363686.1363838

GenFlow: generic flow for integration, management and analysis of molecular biology data

Autor: Hugo A. Armelin, João Eduardo Ferreira, Marcos Eduardo Bolelli Broinizi, Alexandre Dermargos, Marcio K. Oikawa

Publikováno v: Genetics and Molecular Biology v.27 n.4 2004
Genetics and Molecular Biology
Sociedade Brasileira de Genética (SBG)
instacron:SBG
Genetics and Molecular Biology, Volume: 27, Issue: 4, Pages: 691-695, Published: 2004
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Genetics and Molecular Biology, Vol 27, Iss 4, Pp 691-695 (2004)

A large number of DNA sequencing projects all over the world have yielded a fantastic amount of data, whose analysis is, currently, a big challenge for computational biology. The limiting step in this task is the integration of large volumes of data

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2927486e6a0a54264587c60bf243bb5e
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572004000400035