Bioinformatics embodies a set of critical skills necessary to derive insights from biological datasets in a cost effective and lab free manner. Such skills are not readily accessible in the African context. To address this challenge, KRISP as part of the H3Africa initiative is hosting a class for the introduction to bioinformatics course (IBT).
KRISP at UKZN partner with Stanford University on a global innovation program: SPARK GLOBAL: Translational Scientists without borders. As part of this program we run a monthly meeting (first Wednesday of EVERY MONTH) to discuss innovation, select and mentor start-ups that can produce translational research.
KRISP at UKZN partner with Thermo Fisher Scientific on a educational program in Africa. As part of this program we run many training workshops on STEM subjects, ranging from PCR, qPCR, DNA sequencing and CRISPR techniques. We have also produced a short video that shows the state-of-art training facilities in Durban, South Africa
A critical function of KRISP is to make cutting edge genomics, precision medicine and bioinformatics technology accessible to academic, industrial and commercial users. KRISP uses a hybrid model that includes a research team and a commercial laboratory.
KRISP Talks by Prof. Caroline Tiemessen, Models for the study of HIV remission: elite and post-treatment controllers, UKZN, Tuesday, 9 October 2018 (11:00am - 12:00), K-RITH building, Nelson R Mandela School of Medicine, UKZN, Durban, South Africa. All welcome!
Science Technology Engineering and Maths (STEM) training II on quantitative PCR (qPCR). Thermo-KRISP Lab, Nelson Mandela School of Medicine, UKZN, Durban, South Africa, 4 October 2018. Training is open to post-graduate students and for technical staff of commercial and academic laboratories.
SPARK Innovation Breakfast by Patrick Schofield, Uprise.Africa, Disruptive Financial Instruments, Entrepreneurship & Social Enterprise, Wednesday, 3 October 2018 (7:30am - 8:30), K-RITH building, Nelson R Mandela School of Medicine, UKZN, Durban, South Africa. All welcome!
Genomic and epidemiological monitoring of yellow fever virus transmission potential.
Faria NR, Kraemer MUG, S C Hill, J Goes de Jesus, R S Aguiar, F C M Iani, J Xavier, J Quick, L du Plessis, S Dellicour, J Thézé, R D O Carvalho, G Baele, C-H Wu, P P Silveira, M B Arruda, M A Pereira, G C Pereira, J Lourenço1, U Obolski, L Abade, T I Vasylyeva, M Giovanetti, D Yi, D J Weiss, G R W Wint, F M Shearer, S Funk, B Nikolay, Fonseca V, T E R Adelino, M A A Oliveira, M V F Silva, L Sacchetto, P O Figueiredo, I M Rezende, E M Mello, R F C Said, D A Santos, M L Ferraz, M G Brito, L F Santana, M T Menezes, R M Brindeiro, A Tanuri, F C P dos Santos, M S Cunha, J S Nogueira, I M Rocco, A C da Costa, S C V Komninakis, V Azevedo, A O Chieppe, E S M Araujo, M C L Mendonça, C C dos Santos, C D dos Santos, A M Mares-Guia, R M R Nogueira, P C Sequeira, R G Abreu, M H O Garcia, A L Abreu, O Okumoto, E G Kroon, C F C de Albuquerque, K Lewandowski, S T Pullan, M Carroll, de Oliveira T, E C Sabino, R P Souza, M A Suchard, P Lemey, G S Trindade, B P Drumond, A M B Filippis, N J Loman, S Cauchemez, Alcantara LCJ, Pybus OG , Science (2018), DOI: 10.1126/science.aat7115:.
Genome Detective: An Automated System for Virus Identification from High-throughput sequencing data..
Vilsker M, Moosa Y, Nooij S, Fonseca V, Ghysens Y, Dumon K, Pauwels R, Alcantara LC, Vanden Eynden E, Vandamme AM, Deforche K, de Oliveira T, Bioinformatics (2018), doi: 10.1093/bioinformatics/bty695:.
Patterns of genomic site inheritance in HIV-1M inter-subtype recombinants delineate the most likely genomic sites of subtype-specific adaptation.
Tongo M, de Oliveira T, Martin DP, Virus Evolution (2018), Volume 4, Issue 1, 1 January 2018, vey015:.
Dolutegravir for first-line antiretroviral therapy in low-income and middle-income countries: uncertainties and opportunities for implementation and research.
Dorward J, Lessells R, Drain PK, Naidoo K, de Oliveira T, Pillay Y, Karim SSA, Garrett N, Lancet HIV (2018), https://doi.org/10.1016/S2352-3018(18)30093-6:.
Renewing Felsenstein's phylogenetic bootstrap in the era of big data.
Lemoine F, Domelevo Entfellner JB, Wilkinson E, Correia D, Davila Felipe M, de Oliveira T, Gascuel O, Nature (2018), :doi:10.1038/s41586-018-0043-0.
Ethical issues associated with HIV phylogenetics in HIV transmission dynamics research: A review of the literature using the Emanuel Framework.
Mutenherwa F, Wassenaar DR, de Oliveira T, Developing World Bioethics (2018), https://doi.org/10.1111/dewb.12191:.
Spatial clustering of drug-resistant tuberculosis in Hlabisa subdistrict, KwaZulu-Natal, 2011-2015.
Smith CM, Lessells R, Grant AD, Herbst K, Tanser F, Int J Tuberc Lung Dis. (2018), 1;22(3):287-293. doi: 10.5588/ijtld.17.0457:.
STEM Education in Africa: KRISP & Thermo Fisher Scientific PCR Workshops
By: Deseree Rajpal, Sahil Tulsi, Veron Ramsuran, Jennifer Giandhari, Nicolette Crozier and Tulio de Oliveira
This tool is designed to use phylogenetic methods in order to identify the HIV-1 subtype of a specific sequence. The sequence is analysed for recombination using bootscanning methods. The version 3 contains new CRFs (CRF01_AE to CRF47_BF).
This is the first version of the Zika typing tool, which uses phylogenetic analysis to identify the species and genotype of the virus.
This is the first version of our Arbovirus typing tool for Chikungunya, Dengue, Yellow Fever and Zika
This is the first version of the Chikungunya typing tool, which uses phylogenetic analysis to identify the species and genotype of the virus.
This is the first version of the Yellow Fever typing tool, which uses phylogenetic analysis to identify the species and genotype of the virus.