BioCIDER: a Contextualisation InDEx for biological Resources discovery | Zendy

Carlos Horro | Zendy; Martin L. Cook | Zendy; Teresa K. Attwood | Zendy; Michelle D. Brazas | Zendy; John M. Hancock | Zendy; Patricia M. Palagi | Zendy; Manuel Corpas | Zendy; Rafael C. Jiménez | Zendy

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BioCIDER: a Contextualisation InDEx for biological Resources discovery

Author(s) -

Carlos Horro,

Martin L. Cook,

Teresa K. Attwood,

Michelle D. Brazas,

John M. Hancock,

Patricia M. Palagi,

Manuel Corpas,

Rafael C. Jiménez

Publication year - 2017

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btx213

Subject(s) - contextualization , documentation , computer science , world wide web , source code , index (typography) , code (set theory) , open source , software , open source software , data science , programming language , set (abstract data type) , interpretation (philosophy)

The vast, uncoordinated proliferation of bioinformatics resources (databases, software tools, training materials etc.) makes it difficult for users to find them. To facilitate their discovery, various services are being developed to collect such resources into registries. We have developed BioCIDER, which, rather like online shopping 'recommendations', provides a contextualization index to help identify biological resources relevant to the content of the sites in which it is embedded.

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