Learn UNIX/Linux from our experienced KRISP bioinformaticians. This 2-day course will teach you the basic UNIX/Linux commands that you will need to manage data. This is the first of five bioinformatics courses that KRISP is presenting in 2020.
KRISP Talks by Prof. Tulio de Oliveira (KRISP UKZN & CAPRISA), Novel Coronavirus (2019-nCoV) Outbreak: Genomics & Epidemiology, Friday 14 Feb 2020 (11:00am - 12:00pm), K-RITH building, Nelson R Mandela School of Medicine, UKZN, Durban, South Africa. All welcome!
This month, we launch our bioinformatics training program for 2020 and highlight as one of our key researchers become affiliate to the African Academy of Science. We also join the international community to fight the new coronavirus (2019-nCoV) pandemic, published a key paper on understanding HIV transmission hotspots and renewed our partnership with Thermo Fisher Scientific to provide very affordable sequencing in Africa
KRISP is running a Sanger Sequencing promotion to celebrate the launch of two new Sanger Sequencers (ABI 3730xl and 3500). Unbelievable prices for 2020. Capillary electrophoresis only – R 25 (per sample well). Sequencing of PCR purified amplicons – R 45 (per primer). Sequencing of PCR unpurified amplicons – R 75 (per primer).
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 expanded its genomics service offers. Our DNA sequencing services incorporate internal quality control (IQC), external quality assurance (EQA) and procedures are validated and performed by HPCSA-accredited scientists. Here you can access a detailed brochure of the genomics services we provide in Africa.
New research from the Africa Health Research Institute (AHRI) in collaboration with KRISP shows a 43% decrease in the rate of new HIV infections between 2012 and 2017 in the Hlabisa area of northern KwaZulu-Natal (KZN), South Africa.
Genomic and Epidemiological Surveillance of Zika Virus in the Amazon Region.
Giovanetti M, Faria NR, Lourenco J, Goes de Jesus J, Xavier J, Claro IM, Kraemer MUG, Fonseca V, Dellicour S, Theze J, da Silva Salles F, Graef T, Silveira PP, Costa de Souza V, Alves do Nascimento V, Campos de Melo Iani F, Castilho-Martins EA, Cruz LN, Wallau G, Fabri A, Levy F, Quick J, de Azevedo V, Santana Aguiar R, de Oliveira T, Botto de Menezes C, da Costa Castilho M, Matos Terra T, Souza da Silva M, Bispo de Filippis M, Luiz de Abreu A, Kleber Oliveira W, Croda J, Campelo de Albuquerque CF, Nunes MRT, Cerdeira Sabino E, Loman N, Gomes Naveca F, Pybus O, Alcantara LC., Cell Reports (2020), https://doi.org/10.1016/j.celrep.2020.01.085:.
Genome Detective Coronavirus Typing Tool for rapid identification and characterization of novel coronavirus genomes.
Cleemput S, Dumon W, Fonseca V, Abdool Karim W, Giovanetti M, Alcantara LCJ, Deforche K, de Oliveira T, bioRxiv (2020), doi: https://doi.org/10.1101/2020.01.31.928796:.
Genome-wide Association Study Identifies HLA-DPB1 as a Significant Risk Factor for Severe Aplastic Anemia.
Savage SA, Viard M, O'hUigin C, Zhou W, Yeager M, Li SA, Wang T, Ramsuran V, Vince N, Vogt A, Hicks B, Burdett L, Chung C, Dean M, de Andrade KC, Freedman ND, Berndt SI, Rothman N, Lan Q, Cerhan JR, Slager SL, Zhang Y, Teras LR, Haagenson M, Chanock SJ, Spellman SR, Wang Y, Willis A, Askar M, Lee SJ, Carrington M, Gadalla SM, Am J Hum Genet. (2020), pii: S0002-9297(20)30004-5. doi: 10.1016/j.ajhg.2020.01.004:.
Current Affairs of Microbial Genome-Wide Association Studies: Approaches, Bottlenecks and Analytical Pitfalls.
San EJ, Baichoo S, Kanzi A, Moosa Y, Lessells R, Fonseca V, Mogaka J, Power R, de Oliveira T, Front. Microbiol. (2020), https://doi.org/10.3389/fmicb.2019.03119:.
Quantifying HIV transmission flow between high-prevalence hotspots and surrounding communities: a population-based study in Rakai, Uganda.
Ratmann O, Kagaayi J, Hall M, Golubchick T, Kigozi G, Xi X, Wymant C, Nakigozi G, Abeler-Dörner L, Bonsall D, Gall A, Hoppe A, Kellam P, Bazaale J, Kalibbala S, Laeyendecker O, Lessler J, Nalugoda F, Chang LW, de Oliveira T, Pillay D, Quinn TC, Reynolds SJ, Spencer SEF, Ssekubugu R, Serwadda D, Wawer MJ, Gray RH, Fraser C, Grabowski MK, on behalf of the Rakai Health Sciences Program and the Pangea HIV Consortium, Lancet HIV (2020), https://doi.org/10.1016/ S2352-3018(19)30378-9:.
The state of the HIV epidemic in rural KwaZulu-Natal, South Africa: a novel application of disease metrics to assess trajectories and highlight areas for intervention.
Vandormael A, Cuadros D, Kim HY, Bärnighausen T, Tanser F, Int J Epidemiol. (2020), pii: dyz269. doi: 10.1093/ije/dyz269:.
HIV seroconcordance among heterosexual couples in rural KwaZulu-Natal, South Africa: a population-based analysis.
Kim HY, Harling G, Vandormael A, Tomita A, Cuadros DF, Bärnighausen T, Tanser F, J Int AIDS Soc. (2020), 23(1):e25432. doi: 10.1002/jia2.25432:.
Genome Detective: From sample to whole genome of new coronavirus SARS-CoV-2 in Belgium in hours. Fast and accurate detection of COVID-19 virus.
By: Janssens K, Deforche K, de Oliveira T, Vandamme AM
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 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.
This is the first version of our Arbovirus typing tool for Chikungunya, Dengue, Yellow Fever and Zika
Phylogenetic tool to identify the HIV-1 subtypes and recombinants. Query sequences are analysed for recombination using bootscanning methods. The version 3 contains new CRFs (CRF01_AE to CRF47_BF).
A new version of the phylogenetic bootstrap in which the presence of inferred branches in replications is measured using a gradual 'transfer' distance rather than the binary presence or absence index used in Felsenstein's original version. The resulting supports are higher and do not induce falsely supported branches.