Zobrazeno 1 - 10
of 39
pro vyhledávání: '"J Miguel Ortega"'
Autor:
Alessandra C Faria-Campos, Fernanda S Moratelli, Isabella K Mendes, Paula L Ortolani, Guilherme C Oliveira, Sérgio V A Campos, J Miguel Ortega, Glória R Franco
Publikováno v:
Memorias do Instituto Oswaldo Cruz, Vol 101, Pp 161-165 (2006)
The number of sequences generated by genome projects has increased exponentially, but gene characterization has not followed at the same rate. Sequencing and analysis of full-length cDNAs is an important step in gene characterization that has been us
Externí odkaz:
https://doaj.org/article/bd2580ab8105443494429fa9d019ac22
Autor:
Tetsu Sakamoto, J. Miguel Ortega
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-23 (2021)
Abstract Background NCBI Taxonomy is the main taxonomic source for several bioinformatics tools and databases since all organisms with sequence accessions deposited on INSDC are organized in its hierarchical structure. Despite the extensive use and a
Externí odkaz:
https://doaj.org/article/3791ae8f687146a7a63163f8535498b8
Publikováno v:
BMC Research Notes, Vol 13, Iss 1, Pp 1-7 (2020)
Abstract Objective Data normalization and clustering are mandatory steps in gene expression and downstream analyses, respectively. However, user-friendly implementations of these methodologies are available exclusively under expensive licensing agree
Externí odkaz:
https://doaj.org/article/5648c25943da42a581f6b1472dd7205e
Autor:
J. Miguel Ortega, Tetsu Sakamoto
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-23 (2021)
BMC Bioinformatics
BMC Bioinformatics
Background NCBI Taxonomy is the main taxonomic source for several bioinformatics tools and databases since all organisms with sequence accessions deposited on INSDC are organized in its hierarchical structure. Despite the extensive use and applicatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::275e058e7df27ff0cc3ea95c1295cc87
https://doaj.org/article/3791ae8f687146a7a63163f8535498b8
https://doaj.org/article/3791ae8f687146a7a63163f8535498b8
Autor:
Fábio O. Pedrosa, Dieval Guizelini, Ricardo Voyceik, Mariane Gonçalves Kulik, Antonio Camilo da Silva Filho, J. Miguel Ortega, Bruno Thiago de Lima Nichio, Aryel Marlus Repula de Oliveira, Letícia Graziela Costa Santos de Mattos, Roberto Tadeu Raittz, Camilla Reginatto De Pierri, Jeroniza Nunes Marchaukoski, Josué Oliveira Camargo
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
Scientific Reports
Scientific Reports
Vectoral and alignment-free approaches to biological sequence representation have been explored in bioinformatics to efficiently handle big data. Even so, most current methods involve sequence comparisons via alignment-based heuristics and fail when
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82e37c8ddfe387375fd8e2c3aa5a2021
http://link.springer.com/article/10.1038/s41598-019-55627-4
http://link.springer.com/article/10.1038/s41598-019-55627-4
Autor:
Eliseu Jayro de Souza Medeiros, Leonardo Cabral Afonso Ferreira, J. Miguel Ortega, Maria Raquel Venturim Cosate, Tetsu Sakamoto
Publikováno v:
Infection, Genetics and Evolution. 103:105345
Leptospirosis is a widely distributed zoonosis caused by pathogenic strains of bacteria of the genus Leptospira (Phylum Spirochaetes). Its agents are commonly classified based on their antigenic characteristics into serogroups and serovars, which are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3ede984f673dc1da3885cbd6727beec
https://doi.org/10.1016/j.meegid.2022.105345
https://doi.org/10.1016/j.meegid.2022.105345
Additional file 1. Additional figures and tables.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16969544f42ad55187d106b1fa206fad
Publikováno v:
Trends in Developmental Biology. 12:67
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::962116231bfc13a653e1d2f171e9ed0d
https://doi.org/10.31300/tdb.12.2019.67-79
https://doi.org/10.31300/tdb.12.2019.67-79
Publikováno v:
Trends in Developmental Biology. 12:81
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de512740ead530ce52354f0a1ab3c7a6
https://doi.org/10.31300/tdb.12.2019.81-90
https://doi.org/10.31300/tdb.12.2019.81-90
Publikováno v:
Methods. 74:16-35
Genomic information is being underlined in the format of biological pathways. Building these biological pathways is an ongoing demand and benefits from methods for extracting information from biomedical literature with the aid of text-mining tools. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::854642a6983b6d3bd3f4d1570182717d
https://doi.org/10.1016/j.ymeth.2014.10.006
https://doi.org/10.1016/j.ymeth.2014.10.006