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Brett Pickett
PeerJ Editor & Author
600 Points

Contributions by role

Author 100
Editor 500

Contributions by subject area

Bioinformatics
Computational Biology
Molecular Biology
Virology
Infectious Diseases
Microbiology
Veterinary Medicine
Cell Biology
Dermatology
Oncology
Gastroenterology and Hepatology
Medical Genetics
Pediatrics
Data Mining and Machine Learning

Brett E Pickett

PeerJ Editor & Author

Summary

Dr. Brett Pickett is an Assistant Professor in the Microbiology and Molecular Biology Department at Brigham Young University. He completed his B.S degree in Microbiology from BYU in 2005, his Ph.D. training in Microbiology at the University of Alabama at Birmingham, and his postdoctoral training in Pathology at the University of Texas Southwestern Medical Center at Dallas. He then obtained additional experience in industry, and at the J. Craig Venter Institute, where he led investigative studies in viral comparative genomics and the human transcriptional response during viral infection. His research develops data mining methods, applies machine learning techniques, and use advanced statistical workflows to better understand how human cells respond during infection.

Bioinformatics Computational Biology Data Mining & Machine Learning Data Science Databases Evolutionary Studies Genetics Genomics Infectious Diseases Microbiology Molecular Biology Oncology Virology

Editorial Board Member

PeerJ - the Journal of Life & Environmental Sciences

Past or current institution affiliations

Brigham Young University

Work details

Assistant Professor

Brigham Young University
October 2019
Microbiology and Molecular Biology
Dr. Brett Pickett is an Assistant Professor in the Microbiology and Molecular Biology Department at Brigham Young University. He completed his B.S degree in Microbiology from BYU in 2005, his Ph.D. training in Microbiology at the University of Alabama at Birmingham, and his postdoctoral training in Pathology at the University of Texas Southwestern Medical Center at Dallas. He then obtained additional experience in industry, and at the J. Craig Venter Institute, where he led investigative studies in viral comparative genomics and the human transcriptional response during viral infection. His research develops data mining methods, applies machine learning techniques, and use advanced statistical workflows to better understand how human cells respond during infection.

Assistant Professor

J. Craig Venter Institute
February 2016 - November 2018
Informatics
I worked on a variety of projects funded by NIH, USAID, and private grants. The focus of these projects included: generating and analyzing viral whole genome data, generating a potential peptide-based serodiagnostic for mosquito-borne viruses, and using bioinformatics approaches to predict the future prevalence of emerging influenza strains.

Lead Scientist

Booz Allen Hamilton
November 2018 - October 2019
Life Sciences
I worked on a NIH-funded contract, within the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) to mine existing public data relevant to maternal health, early childhood diseases, and pregnancy-related conditions.

Websites

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PeerJ Contributions

  • Articles 3
  • Edited 4
September 29, 2023
Pathway2Targets: an open-source pathway-based approach to repurpose therapeutic drugs and prioritize human targets
Mauri Dobbs Spendlove, Trenton M. Gibson, Shaney McCain, Benjamin C. Stone, Tristan Gill, Brett E. Pickett
https://doi.org/10.7717/peerj.16088 PubMed 37790614
September 26, 2023
Comparative sequence analysis elucidates the evolutionary patterns of Yersinia pestis in New Mexico over thirty-two years
Mary E. Warren, Brett E. Pickett, Byron J. Adams, Crystal Villalva, Alyssa Applegate, Richard A. Robison
https://doi.org/10.7717/peerj.16007 PubMed 37780382
March 21, 2022
Chikungunya virus time course infection of human macrophages reveals intracellular signaling pathways relevant to repurposed therapeutics
Madison Gray, Israel Guerrero-Arguero, Antonio Solis-Leal, Richard A. Robison, Bradford K. Berges, Brett E. Pickett
https://doi.org/10.7717/peerj.13090 PubMed 35341048

Academic Editor on

April 14, 2025
A retrospective study using machine learning to develop predictive model to identify rotavirus-associated acute gastroenteritis in children
Sourav Paul, Minhazur Rahman, Anutee Dolley, Kasturi Saikia, Chongtham Shyamsunder Singh, Arifullah Mohammed, Ghazala Muteeb, Rosy Sarmah, Nima D. Namsa
https://doi.org/10.7717/peerj.19025 PubMed 40247842
August 2, 2023
Transcriptomic characterization revealed that METTL7A inhibits melanoma progression via the p53 signaling pathway and immunomodulatory pathway
Duoli Zhang, Tao Zou, Qingsong Liu, Jie Chen, Mintao Xiao, Anfu Zheng, Zhuo Zhang, Fukuan Du, Yalan Dai, Shixin Xiang, Xu Wu, Mingxing Li, Yu Chen, Yueshui Zhao, Jing Shen, Guiquan Chen, Zhangang Xiao
https://doi.org/10.7717/peerj.15799 PubMed 37547717
August 24, 2021
In silico predictions of protein interactions between Zika virus and human host
João Luiz de Lemos Padilha Pitta, Crhisllane Rafaele dos Santos Vasconcelos, Gabriel da Luz Wallau, Túlio de Lima Campos, Antonio Mauro Rezende
https://doi.org/10.7717/peerj.11770 PubMed 34513323
October 12, 2020
Genetic characterization of feline panleukopenia virus from dogs in Vietnam reveals a unique Thr101 mutation in VP2
Minh Hoang, Cheng-Nan Wu, Chuen-Fu Lin, Huong Thanh Thi Nguyen, Van Phan Le, Ming-Tang Chiou, Chao-Nan Lin
https://doi.org/10.7717/peerj.9752 PubMed 33083102