Paving the way towards a successful and fulfilling career in computational biology

Olugbenga Oluwagbemi; Marion Adebiyi; Segun Fatumo; Geoff Macintyre

doi:10.1371/journal.pcbi.1003593

Paving the way towards a successful and fulfilling career in computational biology

PLoS Comput Biol. 2014 May 1;10(5):e1003593. doi: 10.1371/journal.pcbi.1003593. eCollection 2014 May.

Authors

Olugbenga Oluwagbemi¹, Marion Adebiyi¹, Segun Fatumo², Geoff Macintyre³

Affiliations

¹ Department of Computer and Information Sciences, College of Science and Technology, Bioinformatics Unit, Covenant University, Ota, Ogun State, Nigeria.
² H3Africa Bioinformatics Network (H3ABioNet) Node, National Biotechnology Development Agency (NABDA), Federal Ministry of Science and Technology (FMST), Abuja, Nigeria; Human Genetics Department, Wellcome Trust Sanger Institute, Cambridge, United Kingdom; International Health Research Group, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
³ Centre for Neural Engineering, The University of Melbourne, Carlton, Victoria, Australia; Department of Computing and Information Systems, The University of Melbourne, Parkville, Victoria, Australia.

No abstract available

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Career Mobility*
Computational Biology*
Internationality
Societies / organization & administration*
Workforce

Grants and funding

GM is supported by NICTA. NICTA is funded by the Australian Government as represented by the Department of Broadband, Communications and the Digital Economy and the Australian Research Council through the ICT Centre of Excellence program. The funders had no role in the preparation of the manuscript.