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Publications 2013

  1. Duarte J, Serufuri J-M, Mulder N, Blackburn J. Protein Function Microarrays: Design, Use and Bioinformatic Analysis in Cancer Biomarker Discovery and Quantitation, In: Bioinformatics of Human Proteomics Translational Bioinformatics Springer Science+Business Media Dordrecht, 3:39-74.
  2. Barton C, Iliopoulos CS, Mulder N, Watson B. Identification of all exact and approximate inverted repeats in regular and weighted sequences. Communications in Computer and Information Science. Volume 384: 11-19.
  3. Mulder NJ, Mazandu GK, Rapanoel HA et al Using Host-Pathogen functional interactions for filtering potential drug targets in Mycobacterium tuberculosis. Mycobacterial Diseases. 3: 126, doi: 10.4172/2161-1068.1000126.
  4. Chimusa ER, Zaitlen N, Daya M, Möller M, Mulder NJ, Price AL, Hoal EG. Genome-wide association study of ancestry-specific TB risk in the South African Coloured population. Human Molecular Genetics, 23(3):796-809. doi: 10.1093/hmg/ddt462.
  5. Mazandu GK, Mulder NJ. DaGO-Fun: Tool for Gene Ontology-based functional analysis using term information content measures. BMC Bioinformatics 14:284. DOI: 10.1186/10.1186/1471-2105-14-284. 
  6. Akinola RO, Mazandu GK, Mulder NJ. A Systems Level Comparison of Mycobacterium tuberculosis, Mycobacterium leprae and Mycobacterium smegmatis based on Functional Interaction Network Analysis. Journal of Bacteriology and Parasitology. 4(4):173, doi: 10.4172/2155-9597.1000173.
  7. Magombedze G, Dowdy D, Mulder NJ. Latent Tuberculosis: Models, Computational efforts and the Pathogen's regulatory mechanisms during dormancy. Frontiers Bioeng. Biotechnol., 1:4 doi: 10.3389/fbioe.2013.00004.
  8. Mazandu GK, Mulder NJ. Information content-based Gene Ontology semantic similarity approaches: Toward a unified framework theory. BioMed Research International. vol. 2013, Article ID 292063, 11 pages, 2013. doi:10.1155/2013/292063. 
  9. Chimusa ER, Daya M, Möller M, Ramesar R, Henn BM, van Helden PD, Mulder NJ, Hoal EG. Determining Ancestry Proportions in Complex Admixture Scenarios in South Africa using a novel Proxy Ancestry Selection Method. PLOS ONE, 8(9): e73971. doi:10.1371/journal.pone.0073971.
  10. Deffur A, Mulder N, Wilkinson R. Co-infection with Mycobacterium tuberculosis and Human Immunodeficiency Virus: an overview and motivation for systems approaches. Pathogens and Disease, doi: 10.1111/2049-632X.12060. 
  11. Rapanoel HA, Mazandu GK, Mulder NJ. Predicting and analyzing interactions between Mycobacterium tuberculosis and its human host. PloSOne, 8(7): e67472. doi:10.1371/journal.pone.0067472.
  12. Jimenez RC, Albar JP, Bhak J, Blatter M-C, Blicher T, Brazas MD, Brooksbank C, Budd A, De Las Rivas J, Dreyer J, van Driel M, Dunn MJ, Fernandes PL, van Gelder CWG, Hermjakob H, Ioannidis V, Judge DP, Kahlem P, Korpelainen E, Kraus HJ, Loveland J, Mayer C, McDowall J, Moran F, Mulder N, Nyronen T, Rother K, Salazar GA, Schneider MV, Schneider R, Via A, Villaveces JM, Yu P, Attwood TK, Corpas M. iAnn: An Informatics Platform for Scientific Event Sharing, Bioinformatics, 29(15):1919-1921. 
  13. Via A, Blatter M-C, Blicher T, Brazas M, Brooksbank C, Budd A, Dreyer J, Fernandes P, van de Gelder C, Jacob J, Jimenez R, Judge DP, Loveland J, McDowall J, Moran F, Mulder N, Nyroren T, de Las Rivas J, Rother K, Vlahovicek K, Schneider MV and Attwood TK. Best Practices in Bioinformatics Training for Life Scientists, Briefings in Bioinformatics, 14 (5): 528-537. doi: 10.1093/bib/bbt043.
  14. Riedel A, Mofolo B, Avota E, Schneider-Schaulies S, Meintjes A, Mulder N and Kneitz S. Accumulation of splice variants and transcripts in response to PI3K inhibition in T cells. PLOS ONE, 2013;8(2):e50695. doi: 10.1371/journal.pone.0050695.
  15. Mulder NJ. Protein Family Databases, In: eLS. John Wiley & Sons, Ltd: Chichester.DOI: 10.1002/9780470015902.a0003058.pub3. 
  16. Magombedze G, Mulder N. Understanding TB latency using computational and dynamic modelling procedures. Infection, Genetics and Evolution. 13: 267–283 DOI: 10.1016/j.meegid.2012.09.017.