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Advances in Bioinformatics
Volume 2016, Article ID 2632917, 15 pages
http://dx.doi.org/10.1155/2016/2632917
Research Article

Bioinformatics Approach for Prediction of Functional Coding/Noncoding Simple Polymorphisms (SNPs/Indels) in Human BRAF Gene

1Faculty of Medical Laboratory Sciences, University of Medical Science and Technology, Khartoum, Sudan
2Department of Biotechnology, Faculty of Applied and Industrial Science, University of Juba, Khartoum, Sudan
3Faculty of Pharmacy, Omdurman Islamic University, Khartoum, Sudan
4Faculty of Science, University of Khartoum, Khartoum, Sudan
5Faculty of Medical Laboratory Sciences, Karary University, Khartoum, Sudan
6Tropical Medicine Research Institute, Khartoum, Sudan

Received 26 November 2015; Revised 10 May 2016; Accepted 12 May 2016

Academic Editor: Ming Chen

Copyright © 2016 Mohamed M. Hassan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Mohamed M. Hassan, Shaza E. Omer, Rahma M. Khalf-allah, Razaz Y. Mustafa, Isra S. Ali, and Sofia B. Mohamed, “Bioinformatics Approach for Prediction of Functional Coding/Noncoding Simple Polymorphisms (SNPs/Indels) in Human BRAF Gene,” Advances in Bioinformatics, vol. 2016, Article ID 2632917, 15 pages, 2016. https://doi.org/10.1155/2016/2632917.