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The research services offered by the CPGR have contributed to the publication of book chapters and peer-reviewed international journal articles.


Journal Articles

  1. Beeton-Kempen N, Duarte J, Shoko A Serufuri J-M, John T, Cebon J & Blackburn JM (2014) Development of a novel, quantitative protein microarray platform for the multiplexed serological analysis of autoantibodies to cancer-testis antigens. International Journal of Cancer. DOI 10.1002/ijc.28832.
  2. Viljoen KS & Blackburn JM (2013) Quality assessment and data handling methods for Affymetrix Gene 1.0 ST arrays with variable RNA integrity. BMC Genomics 14, 14.
  3. Dakshinamurthy A,Ramesar R, Goldberg P & Blackburn JM (2008) Infrequent and Low Expression of Cancer-Testis Antigens Located on the X Chromosome in Colorectal Cancer: Implications for Immunotherapy in South African Populations. Biotechnology Journal 3, 1417-1423.
  4. Beeton-Kempen N, Shoko A, Blackburn J (2008) Personalising protein-drug interactions. Pure & Applied Chemistry 80, 1793–1802.
  5. Hiller R & Blackburn JM (2008) Integrating high throughput technologies to advance genomic and proteomic research in South Africa. Biotechnology Journal 3, 1351-1354.
  6. Emile R. Chimusa1, Mamana Mbiyavanga2, Velaphi Masilela2, Judit Kumuthini:  “Broadband” Bioinformatics Skills Transfer with the Knowledge Transfer Programme (KTP): Educational Model for Upliftment and Sustainable Development. In PLOS Computational Biology, November 19, 2015.
  7. Nicola j Mulder, Ezekiel Adebiyi, Raouf, et al.  H3ABioNet, a sustainable Pan-Africa Bioinformatics network for Human Heredity and health in Africa. In Genome Research, December 1, 2015
  8. Nicola J Mulder, Alan Christoffels, Tulio de Oliveira et al. the Development of Computational Biology in South Africa: Success Achieved and Lessons Learnt. PLOS Computational Biology, February 4, 2016
  9. Nicola J. Mulder, Alan Christoffels, Tulio de Oliveira et al. The Development of Computational Biology in South Africa: Successes Achieved and Lessons Learnt. PLoS Comput Biol. 2016 Feb; 12(2): e1004395. Published online 2016 Feb 4. doi: 10.1371/journal.pcbi.1004395 PMCID: PMC4742231
  10. Nomakorinte Gcebe, Anita Michel, Nicolaas C. Gey van Pittius et al. Comparative Proteomic and Genomic Analysis of Four Non-tuberculous Mycobacterium species and Mycobacterium tuberculosis  Complex: Occurance of Shared Immunogenic Proteins. Frontiers in Microbiology, 7 June, 2016
  11. Kumuthini J, Mbiyavanga M, chimusa E, et al. Pharmacogenomics, 22 August 2016. Minimum information required for a DMET experiment reporting.
  12. Michelle D Brazas, Cath Brooksbank, et al., February 27, 2017. “A global perspective on bioinformatics training needs

Book Chapters

  1. Duarte J, Serufuri J-M, Mulder N & Blackburn J (2012) Protein Function Microarrays: Design, Use and Bioinformatic Analysis in Cancer Biomarker Discovery and Quantitation. In Bioinformatics of Human Proteomics: Translational Bioinformatics (Wang X, ed). Springer, NY. ISBN 978-94-007-5811-7.
  2. Blackburn JM, Shoko A & Beeton-Kempen N (2011) Miniaturised, microarray-based assays for chemical proteomic studies of protein function. In Chemical Genomics & Proteomics: Methods in Molecular Biology(Zanders E, ed) The Humana Press, Springer, NY. ISBN 978-1-61779-348-6
  3. Blackburn JM & Shoko A (2011) Protein function microarrays for systems-oriented proteomic analysis. In Protein Microarrays: Methods in Molecular Biology (Korf U, ed). The Humana Press, Springer, NY. ISBN 978-1-61779-285-4.