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Ben Woodcroft
PeerJ Author & Reviewer
560 Points

Contributions by role

Author 405
Preprint Author 35
Reviewer 120

Contributions by subject area

Bioinformatics
Genomics
Microbiology
Molecular Biology
Computational Biology
Computational Science
Data Mining and Machine Learning

Ben J Woodcroft

PeerJ Author & Reviewer

Summary

Biodiversity Bioinformatics Environmental Sciences Microbiology

Past or current institution affiliations

Queensland University of Technology

PeerJ Contributions

  • Articles 4
  • Preprints 1
  • Reviewed 2
December 23, 2024
Impact of storage and extraction methods on peat soil microbiomes
Dylan Cronin, Yueh-Fen Li, Paul Evans, Gene W. Tyson, Ben J. Woodcroft, Virginia I. Rich
https://doi.org/10.7717/peerj.18745 PubMed 39726749
September 22, 2016
Validation of picogram- and femtogram-input DNA libraries for microscale metagenomics
Christian Rinke, Serene Low, Ben J. Woodcroft, Jean-Baptiste Raina, Adam Skarshewski, Xuyen H. Le, Margaret K. Butler, Roman Stocker, Justin Seymour, Gene W. Tyson, Philip Hugenholtz
https://doi.org/10.7717/peerj.2486 PubMed 27688978
May 21, 2015
Back from the dead; the curious tale of the predatory cyanobacterium Vampirovibrio chlorellavorus
Rochelle M. Soo, Ben J. Woodcroft, Donovan H. Parks, Gene W. Tyson, Philip Hugenholtz
https://doi.org/10.7717/peerj.968 PubMed 26038723
September 30, 2014
GroopM: an automated tool for the recovery of population genomes from related metagenomes
Michael Imelfort, Donovan Parks, Ben J. Woodcroft, Paul Dennis, Philip Hugenholtz, Gene W. Tyson
https://doi.org/10.7717/peerj.603 PubMed 25289188
June 10, 2014 - Version: 1
GroopM: An automated tool for the recovery of population genomes from related metagenomes
Michael Imelfort, Donovan Parks, Ben J Woodcroft, Paul Dennis, Philip Hugenholtz, Gene W Tyson
https://doi.org/10.7287/peerj.preprints.409v1

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.

November 2, 2018
imGLAD: accurate detection and quantification of target organisms in metagenomes
Juan C. Castro, Luis M. Rodriguez-R, William T. Harvey, Michael R. Weigand, Janet K. Hatt, Michelle Q. Carter, Konstantinos T. Konstantinidis
https://doi.org/10.7717/peerj.5882 PubMed 30405973
November 8, 2016
Deconvoluting simulated metagenomes: the performance of hard- and soft- clustering algorithms applied to metagenomic chromosome conformation capture (3C)
Matthew Z. DeMaere, Aaron E. Darling
https://doi.org/10.7717/peerj.2676 PubMed 27843713