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GeoBoost: accelerating research involving the geospatial metadata of virus GenBank records.
Tahsin, Tasnia; Weissenbacher, Davy; O'Connor, Karen; Magge, Arjun; Scotch, Matthew; Gonzalez-Hernandez, Graciela.
Afiliação
  • Tahsin T; Department of Biomedical Informatics, Arizona State University, Scottsdale, AZ 85259, USA.
  • Weissenbacher D; Department of Biomedical Informatics, Arizona State University, Scottsdale, AZ 85259, USA.
  • O'Connor K; Institute of Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Magge A; Department of Biomedical Informatics, Arizona State University, Scottsdale, AZ 85259, USA.
  • Scotch M; Department of Biomedical Informatics, Arizona State University, Scottsdale, AZ 85259, USA.
  • Gonzalez-Hernandez G; Biodesign Center for Environmental Health Engineering, Arizona State University, Tempe, AZ 85281, USA.
Bioinformatics ; 34(9): 1606-1608, 2018 05 01.
Article em En | MEDLINE | ID: mdl-29240889
ABSTRACT

Summary:

GeoBoost is a command-line software package developed to address sparse or incomplete metadata in GenBank sequence records that relate to the location of the infected host (LOIH) of viruses. Given a set of GenBank accession numbers corresponding to virus GenBank records, GeoBoost extracts, integrates and normalizes geographic information reflecting the LOIH of the viruses using integrated information from GenBank metadata and related full-text publications. In addition, to facilitate probabilistic geospatial modeling, GeoBoost assigns probability scores for each possible LOIH. Availability and implementation Binaries and resources required for running GeoBoost are packed into a single zipped file and freely available for download at https//tinyurl.com/geoboost. A video tutorial is included to help users quickly and easily install and run the software. The software is implemented in Java 1.8, and supported on MS Windows and Linux platforms. Contact gragon@upenn.edu. Supplementary information Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vírus / Metadados Tipo de estudo: Prognostic_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vírus / Metadados Tipo de estudo: Prognostic_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos