Frederick A Matsen IV

PeerJ Author & Reviewer

Summary

Our interest is in developing methods to apply evolutionary thinking to molecular sequence data. In practice this typically means phylogenetics. Our recent work has been in developing phylogenetic methods for the analysis and comparison of metagenomic sequencing data, as well as for questions in HIV research.

Our skills lie in mathematical approaches to biological problems, algorithm development, and efficient algorithm implementation.

Bioinformatics Computational Biology

Editing Journals

Past or current institution affiliations

Fred Hutchinson Cancer Research Center

Work details

Assistant Member

Fred Hutchinson Cancer Research Center

Computational Biology

Websites

January 9, 2014

PhyloSift: phylogenetic analysis of genomes and metagenomes

Aaron E. Darling, Guillaume Jospin, Eric Lowe, Frederick A. Matsen, Holly M. Bik, Jonathan A. Eisen

https://doi.org/10.7717/peerj.243 PubMed 24482762

September 12, 2013

Abundance-weighted phylogenetic diversity measures distinguish microbial community states and are robust to sampling depth

Connor O. McCoy, Frederick A. Matsen

https://doi.org/10.7717/peerj.157 PubMed 24058885

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

March 30, 2016

MonoPhy: a simple R package to find and visualize monophyly issues

Orlando Schwery, Brian C. O’Meara

https://doi.org/10.7717/peerj-cs.56

August 21, 2014

Subsampled open-reference clustering creates consistent, comprehensive OTU definitions and scales to billions of sequences

Jai Ram Rideout, Yan He, Jose A. Navas-Molina, William A. Walters, Luke K. Ursell, Sean M. Gibbons, John Chase, Daniel McDonald, Antonio Gonzalez, Adam Robbins-Pianka, Jose C. Clemente, Jack A. Gilbert, Susan M. Huse, Hong-Wei Zhou, Rob Knight, J. Gregory Caporaso

https://doi.org/10.7717/peerj.545 PubMed 25177538