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Title

MACBenAbim: A Multi-platform Mobile Application for searching keyterms in Computational Biology and Bioinformatics

 

Authors

Olugbenga O Oluwagbemi1, 2*, Adewole Adewumi2 & Abimbola Esuruoso2

 

Affiliation

1Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, United States of America; 2(Bioinformatics Unit), Department of Computer and Information Sciences, School of Natural and Applied Sciences, P.M. B 1023, Covenant University, Ogun State, Nigeria.

 

Email

gbemiseun@yahoo.com; *Corresponding author

 

Article Type

Software

Date

Received August 01, 2012; Accepted August 15, 2012; Published August 24, 2012

 

Abstract

Computational biology and bioinformatics are gradually gaining grounds in Africa and other developing nations of the world. However, in these countries, some of the challenges of computational biology and bioinformatics education are inadequate infrastructures, and lack of readily-available complementary and motivational tools to support learning as well as research. This has lowered the morale of many promising undergraduates, postgraduates and researchers from aspiring to undertake future study in these fields. In this paper, we developed and described MACBenAbim (Multi-platform Mobile Application for Computational Biology and Bioinformatics), a flexible user-friendly tool to search for, define and describe the meanings of keyterms in computational biology and bioinformatics, thus expanding the frontiers of knowledge of the users. This tool also has the capability of achieving visualization of results on a mobile multi-platform context.

 

Availability

MACBenAbim is available from the authors for non-commercial purposes.

 

Keywords

Multi-platform application, Keyterms, Computational biology, Bioinformatics, Mobile application

 

Citation

Oluwagbemi et al. Bioinformation 8(16): 790-791 (2012)
 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.