Christopher J Mungall

PeerJ Editor, Author & Reviewer

Summary

I am a Computer Research Scientist in the Environmental Genomics and Systems Biology division at Lawrence Berkeley Laboratory. My work focuses on computational methods for representing and interpreting complex biological data, in particular through the development and application of knowledge representation structures such as ontologies.

Artificial Intelligence Bioinformatics Computational Biology Computational Science Data Mining & Machine Learning Data Science Databases Genomics Medical Genetics Network Science & Online Social Networks Programming Languages Scientific Computing & Simulation Software Engineering Theory & Formal Methods Translational Medicine

Editorial Board Member

PeerJ - the Journal of Life & Environmental Sciences

PeerJ Computer Science

Past or current institution affiliations

UC Berkeley

Work details

Computer Research Scientist

Lawrence Berkeley National Lanoratory

June 2006

Molecular Ecosystems Biology

Websites

PeerJ Contributions

August 16, 2016

The health care and life sciences community profile for dataset descriptions

Michel Dumontier, Alasdair J.G. Gray, M. Scott Marshall, Vladimir Alexiev, Peter Ansell, Gary Bader, Joachim Baran, Jerven T. Bolleman, Alison Callahan, José Cruz-Toledo, Pascale Gaudet, Erich A. Gombocz, Alejandra N. Gonzalez-Beltran, Paul Groth, Melissa Haendel, Maori Ito, Simon Jupp, Nick Juty, Toshiaki Katayama, Norio Kobayashi, Kalpana Krishnaswami, Camille Laibe, Nicolas Le Novère, Simon Lin, James Malone, Michael Miller, Christopher J. Mungall, Laurens Rietveld, Sarala M. Wimalaratne, Atsuko Yamaguchi

https://doi.org/10.7717/peerj.2331 PubMed 27602295

December 14, 2015

Emerging semantics to link phenotype and environment

Anne E. Thessen, Daniel E. Bunker, Pier Luigi Buttigieg, Laurel D. Cooper, Wasila M. Dahdul, Sami Domisch, Nico M. Franz, Pankaj Jaiswal, Carolyn J. Lawrence-Dill, Peter E. Midford, Christopher J. Mungall, Martín J. Ramírez, Chelsea D. Specht, Lars Vogt, Rutger Aldo Vos, Ramona L. Walls, Jeffrey W. White, Guanyang Zhang, Andrew R. Deans, Eva Huala, Suzanna E. Lewis, Paula M. Mabee

https://doi.org/10.7717/peerj.1470 PubMed 26713234

January 9, 2017 - Version: 2

The health care and life sciences community profile for dataset descriptions

Michel Dumontier, Alasdair J G Gray, M. Scott Marshall, Vladimir Alexiev, Peter Ansell, Gary D Bader, Joachim Baran, Jerven T Bolleman, Alison Callahan, José Cruz-Toledo, Pascale Gaudet, Erich A Gombocz, Alejandra N Gonzalez Beltran, Paul Groth, Melissa Haendel, Maori Ito, Simon Jupp, Nick Juty, Toshiaki Katayama, Norio Kobayashi, Kalpana Krishnaswami, Camille Laibe, Nicolas Le Novère, Simon Lin, James Malone, Michael Miller, Chris Mungall, Laurens Rietveld, Sarala M Wimalaratne, Atsuko Yamaguchi

https://doi.org/10.7287/peerj.preprints.1982v2

Academic Editor on

November 11, 2019

Computational methods for the ab initio identification of novel microRNA in plants: a systematic review

Buwani Manuweera, Gillian Reynolds, Indika Kahanda

https://doi.org/10.7717/peerj-cs.233

November 11, 2019

Avoiding “conflicts of interest”: a computational approach to scheduling parallel conference tracks and its human evaluation

Prashanti Manda, Alexander Hahn, Katherine Beekman, Todd J. Vision

https://doi.org/10.7717/peerj-cs.234

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.

August 2, 2018

HPO2GO: prediction of human phenotype ontology term associations for proteins using cross ontology annotation co-occurrences

Tunca Doğan

https://doi.org/10.7717/peerj.5298 PubMed 30083448

March 2, 2017

Exploring biomedical ontology mappings with graph theory methods

Simon Kocbek, Jin-Dong Kim

https://doi.org/10.7717/peerj.2990 PubMed 28265499