Author

Michael F Hammer

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

Biology Disciplines

Click to filter author papers

Genomics· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

August E Woerner· 2 shared Jeffrey D Wall· 2 shared Krishna R Veeramah· 2 shared Carlos D Bustamante· 1 shared Ivo Gut· 1 shared Jeff D Wall· 1 shared Jeffrey M Kidd· 1 shared Joanna L Kelley· 1 shared

Activity by Year

2014-2016 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersEvolutionary Biology

August E Woerner

Mutual co-authors in cluster

Author profile →

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

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

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