I am an IDeAL early career postdoctoral fellow at the KEMRI-Wellcome Trust Programme since April 2016. I hold a BSc in Biology degree from the University of Nairobi and an MSc. and PhD in Computational Biology from the Nara Institute of Science and Technology (NAIST), Japan.
Although originally a biologist, I have skills and experience in bioinformatics particularly in development of tools for sequence analysis applications for phylogenetics and transcriptomics. My current research project focuses on designing sampling strategies for optimizing diversity capture based on RSV sequences. Other projects include spatial epidemiology work whose objective is to map transmission patterns of RSV in Kenya.
Integrated pathway-based transcription regulation network mining and visualization based on gene expression profiles.
Kibinge, N., Ono, N., Horie, M., Sato, T., Sugiura, T., Altaf-Ul-Amin, M., Saito, A. and Kanaya, S.
Journal of biomedical informatics, 61, pp.194-202. (2016)
Clustering of 3D‐Structure Similarity Based Network of Secondary Metabolites Reveals Their Relationships with Biological Activities.
Ohtana, Y., Abdullah, A.A., Altaf‐Ul‐Amin, M., Huang, M., Ono, N., Sato, T., Sugiura, T., Horai, H., Nakamura, Y., Lange, K.W. and Kibinge, N.K.
Molecular Informatics, 33(11‐12), pp.790-801. (2014)
Kibinge, N., Ikeda, S., Ono, N., Altaf-Ul-Amin, M. and Kanaya, S.
BioMed research international (2014)
Systematization of the protein sequence diversity in enzymes related to secondary metabolic pathways in plants, in the context of big data biology inspired by the KNApSAcK Motorcycle database.
Ikeda, S., Abe, T., Nakamura, Y., Kibinge, N., Morita, A.H., Nakatani, A., Ono, N., Ikemura, T., Nakamura, K., Altaf-Ul-Amin, M. and Kanaya, S.
Plant and Cell Physiology, p.pct041. (2013)
Afendi, F.M., Ono, N., Nakamura, Y., Nakamura, K., Darusman, L.K., Kibinge, N., Morita, A.H., Tanaka, K., Horai, H., Altaf-Ul-Amin, M. and Kanaya, S.
Computational and Structural Biotechnology Journal, 4(5), pp.1-14. (2013)</em> </p> </ul> </div>
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