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BMC Res Notes. 2016 Mar 5;9:144. doi: 10.1186/s13104-016-1950-5.

NetCapDB: measuring bioinformatics capacity development in Africa.

Author information

1
South African National Bioinformatics Institute/Medical Research Council of South Africa Bioinformatics Unit, University of the Western Cape, Cape Town, South Africa. hocine@sanbi.ac.za.
2
South African National Bioinformatics Institute/Medical Research Council of South Africa Bioinformatics Unit, University of the Western Cape, Cape Town, South Africa. jeanbaka@sanbi.ac.za.
3
South African National Bioinformatics Institute/Medical Research Council of South Africa Bioinformatics Unit, University of the Western Cape, Cape Town, South Africa. pvh@sanbi.ac.za.
4
South African National Bioinformatics Institute/Medical Research Council of South Africa Bioinformatics Unit, University of the Western Cape, Cape Town, South Africa. junaid@sanbi.ac.za.
5
South African National Bioinformatics Institute/Medical Research Council of South Africa Bioinformatics Unit, University of the Western Cape, Cape Town, South Africa. nicki@sanbi.ac.za.

Abstract

BACKGROUND:

The National Institutes of Health (USA) has committed 5 years of funding to the Bioinformatics Network of the Human Heredity and Health in Africa initiative. This pan-African network aims to develop capacity for bioinformatics research, in order to provide support to human health genomics research programs ongoing on the continent. Over the 5 years of funding, it is imperative to track changes in bioinformatics capacity at the funded centres and to document how the funding has translated into capacity development during this time frame.

RESULTS:

The Network capacity database, NetCapDB, is a relational database that captures quantitative metrics for bioinformatics capacity, and tracks the changes in these metrics over time. A graphical user interface allows for straight-forward, browser-based data entry by users across Africa; and for visual and graph-based exploration of captured data. A reporting interface allows for semi-automated generation of standardized reports for monitoring and evaluation purposes.

PMID:
26945860
PMCID:
PMC4779554
DOI:
10.1186/s13104-016-1950-5
[Indexed for MEDLINE]
Free PMC Article

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