Author

Krishna 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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Genomics· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:non-human primate· 2 Assay:whole-genome sequencing· 2 Research Focus:chromatin & epigenetic regulation· 1 Organism:human· 1 Research Focus:phylogenetics / evolution· 1

Frequent Co-Authors

Amelie ScheuiD· 1 shared Athanasios KousathanasiD· 1 shared August E Woerner· 1 shared August E. Woerner· 1 shared Barbara Horejs· 1 shared Carlos D. BustamanteiD· 1 shared Christian Sell· 1 shared Christina Ziota· 1 shared

Activity by Year

2014-2016 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperGenomics

Amelie ScheuORCID

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Author profile →

3 papers

Recent·Most cited

Early farmers from across Europe directly descended from Neolithic Aegeans

Zuzana Hofmanová, Susanne Kreutzer, Garrett Hellenthal, Christian Sell, Yoan Diekmann, David Díez del Molino, Lucy van Dorp, Saioa López, Athanasios Kousathanas, Vivian Link, Karola Kirsanow, Lara M Cassidy, Rui Martiniano, Melanie Strobel, Amelie Scheu, , Da

This study shows early European farmers descended directly from Neolithic Aegeans, linking Mediterranean and Central European farmers to southwestern Asia.

Proceedings of the National Academy of Sciences · Jun 6, 2016Peer-reviewedGenomics

Inference of Gorilla demographic and selective history from whole genome sequence data

Kimberly F. McManus, Joanna L. Kelley, Shiya Song, Krishna Veeramah, August E. Woerner, Laurie S. Stevison, Oliver A. Ryder, Great Ape Genome Project, Jeffrey M. Kidd, Jeffrey D. Wall, Carlos D. Bustamante, Michael F. Hammer

This study uses whole genome sequences from gorillas to infer demographic history and selective sweeps, finding population expansions and contractions and signatures of positive selection in specific biological processes.

Molecular Biology and Evolution · Jan 21, 2015Peer-reviewedGenomics

An Approximate Bayesian Computation Approach to Examining the Phylogenetic Relationships among the Four Gibbon Genera using Whole Genome Sequence Data

Krishna Veeramah, August E Woerner, Laurel Johnstone, Ivo Gut, Marta Gut, Tomas Marques-Bonet, Lucia Carbone, Jeff D Wall, Michael F Hammer

This study uses whole genome sequencing and Approximate Bayesian Computation to examine gibbon phylogenetic relationships, finding that all four genera diverged around 5 Mya with unresolved branching order.

bioRxiv · Sep 22, 2014Genomics