Karel Brinda

Karel Brinda, PhD

Former Research Associate in Biomedical Informatics, Harvard Medical School
Baym Lab

Karel Brinda was a postdoctoral research associate, working with Bill Hanage in the Center for Communicable Disease Dynamics at Harvard T.H. Chan School of Public Health and Michael Baym in the Department of Biomedical Informatics at Harvard Medical School. His research focused on methods for rapid antibiotic resistance detection from point-of-care sequencing data obtained by mobile sequencing technologies.

Karel is the lead developer of RASE, ProPhyle, Ococo, RNFtools, SAMsift, ProphAsm, DyMas, and Disty McMatrixFace. He was also involved in the development of Blind Friendly Maps, ProPhex, Seed-Kraken, Seed-Jellyfish, and NanoSim-H.

Prior to joining Harvard, Karel received his PhD in computer science at Université Paris-Est and a master degree in mathematical computer science at the Czech Technical University in Prague.

Rapid inference of antibiotic resistance and susceptibility by genomic neighbour typing.
Authors: Brinda K, Callendrello A, Ma KC, MacFadden DR, Charalampous T, Lee RS, Cowley L, Wadsworth CB, Grad YH, Kucherov G, O'Grady J, Baym M, Hanage WP.
Nat Microbiol
View full abstract on Pubmed
RNF: a general framework to evaluate NGS read mappers.
Authors: Brinda K, Boeva V, Kucherov G.
Bioinformatics
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Spaced seeds improve k-mer-based metagenomic classification.
Authors: Brinda K, Sykulski M, Kucherov G.
Bioinformatics
View full abstract on Pubmed