Author

Jeffrey D Wall

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· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Krishna R Veeramah· 2 shared Michael F Hammer· 2 shared Amanda O Shaver· 1 shared August E Woerner· 1 shared Carlos D Bustamante· 1 shared Gisela H Kopp· 1 shared Jacob B Gordon· 1 shared Jeffrey M Kidd· 1 shared

Activity by Year

2015-2016 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersEvolutionary Biology

Krishna R Veeramah

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Author profile →

3 papers

Recent·Most cited

Efficient genome-wide sequencing and low coverage pedigree analysis from non-invasively collected samples

Noah Snyder-Mackler, William H Majoros, Michael L Yuan, Amanda O Shaver, Jacob B Gordon, Gisela H Kopp, Stephen A Schlebusch, Jeffrey D Wall, Susan C Alberts, Sayan Mukherjee, Xiang Zhou, Jenny Tung

The paper develops an optimized lab protocol and computational method to analyze non-invasively collected samples for genome-wide sequencing and low-coverage pedigree reconstruction, validated on baboon fecal samples.

Genetics · Jun 1, 2016Peer-reviewedGenomics

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

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