Author

Krishna R Veeramah

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:whole-genome sequencing· 3 Organism:human· 2 Organism:chicken / avian· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:genome assembly· 1 Research Focus:phylogenetics / evolution· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Jeffrey D Wall· 2 shared Michael F Hammer· 2 shared August E Woerner· 1 shared Carlos D Bustamante· 1 shared Jeffrey M Kidd· 1 shared Joanna L Kelley· 1 shared Joseph Lachance· 1 shared Kimberly F McManus· 1 shared

Activity by Year

2015-2016 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersEvolutionary Biology

Jeffrey D Wall

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3 papers

Recent·Most cited

The Time-Scale of Recombination Rate Evolution in Great Apes

Laurie S Stevison, August E Woerner, Jeffrey M Kidd, Joanna L Kelley, Krishna R Veeramah, Kimberly F McManus, Carlos D Bustamante, Michael F Hammer, Jeffrey D Wall

This study analyzes recombination rate variation across great apes using genome-wide data, finding PRDM9's role in recombination and rapid hotspot turnover.

Molecular Biology and Evolution · Apr 1, 2016Peer-reviewedEvolutionary Biology

Maximum Likelihood Estimation of Biological Relatedness from Low Coverage Sequencing Data

Mikhail Lipatov, Komal Sanjeev, Rob Patro, Krishna R Veeramah

This paper develops a method to accurately estimate biological relatedness from low coverage sequencing data, outperforming existing methods like PLINK in simulated and real datasets.

bioRxiv · Jul 29, 2015 · PreprintGenetics

Whole genome sequence analyses of Western Central African Pygmy hunter-gatherers reveal a complex demographic history and identify candidate genes under positive natural selection

PingHsun Hsieh, Krishna R Veeramah, Joseph Lachance, Sarah A Tishkoff, Jeffrey D Wall, Michael F Hammer, Ryan N Gutenkunst

The paper analyzes whole-genome sequences of Pygmy hunter-gatherers to uncover demographic history and identify genes under positive selection.

bioRxiv · Jul 8, 2015Genomics