Extracting patterns of database and software usage from the bioinformatics literature.
Bioinformatics
; 30(17): i601-8, 2014 Sep 01.
Article
en En
| MEDLINE
| ID: mdl-25161253
ABSTRACT
MOTIVATION As a natural consequence of being a computer-based discipline, bioinformatics has a strong focus on database and software development, but the volume and variety of resources are growing at unprecedented rates. An audit of database and software usage patterns could help provide an overview of developments in bioinformatics and community common practice, and comparing the links between resources through time could demonstrate both the persistence of existing software and the emergence of new tools. RESULTS:
We study the connections between bioinformatics resources and construct networks of database and software usage patterns, based on resource co-occurrence, that correspond to snapshots of common practice in the bioinformatics community. We apply our approach to pairings of phylogenetics software reported in the literature and argue that these could provide a stepping stone into the identification of scientific best practice. AVAILABILITY AND IMPLEMENTATION The extracted resource data, the scripts used for network generation and the resulting networks are available at http//bionerds.sourceforge.net/networks/.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Programas Informáticos
/
Bases de Datos Factuales
/
Biología Computacional
Tipo de estudio:
Guideline
Idioma:
En
Revista:
Bioinformatics
Asunto de la revista:
INFORMATICA MEDICA
Año:
2014
Tipo del documento:
Article
País de afiliación:
Reino Unido