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Darren P. Martin

Researcher at University of Cape Town

Publications -  162
Citations -  19448

Darren P. Martin is an academic researcher from University of Cape Town. The author has contributed to research in topics: Maize streak virus & Genome. The author has an hindex of 54, co-authored 139 publications receiving 14979 citations. Previous affiliations of Darren P. Martin include National Institute for Biotechnology and Genetic Engineering & RMIT University.

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RDP4: Detection and analysis of recombination patterns in virus genomes.

TL;DR: The key feature of RDP4 that differentiates it from other recombination detection tools is its flexibility, which can be run either in fully automated mode from the command line interface or with a graphically rich user interface that enables detailed exploration of both individual recombination events and overall recombination patterns.
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RDP3: a flexible and fast computer program for analyzing recombination

TL;DR: RDP3 is a new version of the RDP program for characterizing recombination events in DNA-sequence alignments that includes four new recombination analysis methods, new tests for recombination hot-spots, and a range of matrix methods for visualizing over-all patterns of recombination within datasets and recombination-aware ancestral sequence reconstruction.
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RDP: detection of recombination amongst aligned sequences

TL;DR: Recombination Detection Program is a program that applies a pairwise scanning approach to the detection of recombination amongst a group of aligned DNA sequences.
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Detection of a SARS-CoV-2 variant of concern in South Africa.

TL;DR: A newly arisen lineage of SARS-CoV-2 (designated 501Y.V2) was identified in South Africa after the first wave of the epidemic in a severely affected metropolitan area (Nelson Mandela Bay) that is located on the coast of the Eastern Cape province.
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SDT: A Virus Classification Tool Based on Pairwise Sequence Alignment and Identity Calculation

TL;DR: Sequence Demarcation Tool (SDT) as discussed by the authors is a free user-friendly computer program that aims to provide a robust and highly reproducible means of objectively using pairwise genetic identity calculations to classify any set of nucleotide or amino acid sequences.