Pan African Bioinformatics Network for H3Africa

Centre for Bioinformatics (CBio)

CBio was established in 2013 and recently a laboratory had been allocated within the Faculty of Science, University of Khartoum to be the base for CBio. The objectives of CBio are to: 1) coordinate the strategic development of Bioinformatics across Sudan, Africa and beyond; 2) develop new collaborative projects within and outside Sudan, particularly those that are multi-disciplinary; 3) contribute to a broad view of Bioinformatics including the development of links with areas such as statistical genetics, cheminformatics and health informatics; 4) develop and draft a strategic plan for the provision of teaching, training and capacity building in Bioinformatics; organise seminar programs, workshops and conferences on Bioinformatics; 5) disseminate relevant software, databases and information to Sudanese and world scientific communities, both academic and industrial and 6) to facilitate the provision of state-of-the-art Bioinformatics support to members of genomics and biomedical research community.


 faisal website

Professor Faisal M. Fadlelmola - Principal Investigator & Acting Node Manager

Professor Fadlelmola is a former Dean of the Faculty of Computer Science, Future University of Sudan. He coordinates the H3ABioNet Project at the Sudan Bioinformatics Node. He is a Fellow of the British Computer Society (FBCS), Chartered Information Technology Professional (CITP, UK), Certified Training and Development Professional (CTDP, Canada) and the Scientific Director for the Centre for Bioinformatics. He holds a PhD in Molecular Human Genetics and Bioinformatics from the University of Wuerzburg, Germany, awarded in 2003 and two masters degrees from UK in Medical Molecular Biology (1999) and Information Systems (2000). In his PhD study, he completed comprehensive bioinformatics and molecular analyses of the Retina and Retinal Pigment Epithelium (RPE) Transcriptome (2000-2003).

Prior to joining the Future University, Dr Fadlelmola completed his postdoctoral research training on Cancer Genomics and Bioinformatics at the Centre for Translational and Applied Genomics (CTAG) at the British Columbia Cancer Agency (BCCA), Vancouver Cancer Centre, Vancouver, Canada (2004-2006). During his postdoctoral training, Dr. Fadlelmola completed the first comprehensive, genome-wide submegabase tiling resolution array Comparative Genomic Hybridization of Hodgkin Lymphoma and Anaplastic Large Cell Lymphoma Cell Lines and demonstrated the amplification of 3 isoforms of the trypsin gene in these cell lines, a novel finding not previously reported in lymphomas. In addition, he performed comprehensive analyses of genome-wide transcriptome profiles in Hodgkin Lymphoma and Anaplastic Large Cell Lymphoma cell lines and Hodgkin Lymphoma clinical samples. He also participated in identification, characterization and developing novel murine monoclonal antibodies that recognise cell surface molecules in Hodgkin Lymphoma and aggressive non-Hodgkin lymphomas. He also worked as a Senior Research Associate at the CTAG at the BCCA (2007-2008).

In 2009, Dr. Fadlelmola relocated to Botswana as  a founding academic staff for the newly established school of Medicine at the University of Botswana, where he taught genetics, genomics, bioinformatics, health informatics and information technology to medical students. On August 2011, he joined the newly transferred Future University of Sudan (Formerly ComputerMan College) in Khartoum as an associate professor of cancer genomics, bioinformatics and information technology.  He has been involved in a variety of research projects on topics such as cancer genomics, bioinformatics, molecular epidemiology of cancer, translational and applied genomics, computer sciences and IT, mobile health and mobile learning, among many others. 

 Mustafa website


Mr. Mustafa Alghali - Software Developer


 Mr. Mustafa Alghali is a software developer with concrete experiences in computer vision and Machine Learning. Mr. Alghali has skills and expertise in design and implement Machine Learning and deep learning solutions using Caffe framework. Mr. Alghali has acquired skills in image processing techniques (Restoration, Alignment, Filtering, Feature Extraction, 2-3D Transforms). He also has experiences in computer vision tasks (Object recognition, Pos estimation , Object Tracking, SIFT, Cascade classifiers, template matching, marker based Augmented Reality and OCR usign OpenCV. Mr. Alghali also has skills and expertise in Cloud based applications and services development and recently he participated to H3ABioNet Cloud Computing Hackathon.

Rehab Ahmed sudan website

Ms. Rehab Ahmed: PhD Candidate

Ms. Rehab graduated with a first class honour degree bachelor in Pharmacy from the University of Khartoum in 2008. During her undergraduate studies she was awarded Faculty prizes for the second best academic performance in her 3rd, 4th and 5th year of study. In 2012 Ms. Rehab was awarded a Master degree in Molecular Medicine from the Institute of Endemic Diseases, University of Khartoum and won an award for having the best M.Sc. research project. Her M.Sc. partial fulfilment research project was entitled "Comparative Modeling of Serotonin Receptors 5ht2a and 5ht2c and In-silico Investigation of their Potential as Off-target to Ethinylestradiol". Ms. Ahmed’s PhD study will be revolving around understanding the nature of the host-pathogen interaction of Giardia and mining the relevant OMICS data for therapeutic targets.

Somia Mohammed sundan website

Ms. Somia A. Mohammed: PhD Candidate

Ms. Mohammed was awarded a B.Sc. in Information Technology from the Faculty of Mathematical Science, University of Khartoum in 2007 and M.Sc. in Information Technology (Track: Business Intelligence) from the same university in 2014. The title of her MSc research project was "Developing a Cloud Model for providing Business Intelligence Services". Prior to joining SudanBioinformatics Node, Miss Mohammed worked as assistant lecturer at Al Bayan Collegein Khartoum. Ms. Mohamed has several computational skills which include:database design and management, and web applications development among other skills.She also has excellent analytical, problem solving, communication and presentation skills. Her PhD study will be revolving around developing novel tools and methods for mining, visualizing and comparing heterogeneous genomic datasets.

Azza Ahmed sundan website

Ms. Azza E. Ahmed: PhD Candidate

Ms. Ahmed graduated with B. Sc. (Honors) First Class in Electrical and Electronic Engineering, University of Khartoum (Specialization: Control and Instrumentation), Graduation Project: "A Network-based Surveillance System for the University of Khartoum, Faculty of Engineering, including requirement analysis, design and implementation" (2010). She had been awarded Master of Science (MSc) in Cybernetics with distinction from the University of Reading, UK (2013), Graduation project: "A Modular control interface for agent elements in power systems (MAS energy management solution)". Ms. Ahmed has the following technical skills: Programming: Visual Basic ,Pascal, C/C++, C# , x86 assembly language, Matlab & Simulink; Multi-Agent Systems programming: Netlogo; Web site programming: Adobe Dreamweaver, front page, Microsoft-word; Database Management Systems: MySQL, Microsoft SQL server. Ms. Ahmed’s PhD study will be revolving around developing novel statistical methods and mathematical modeling for the data analysis of the genome wide association studies (GWAS), next generation sequencing (NGS) and the integration and interaction of the biological networks.