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Goo Jun
PeerJ Editor & Author
1,335 Points

Contributions by role

Editor 1,335

Contributions by subject area

Bioinformatics
Computational Biology
Genetics
Genomics
Evolutionary Studies
Pathology
Medical Genetics
Computational Science
Microbiology
Public Health
Oncology
Respiratory Medicine
Data Mining and Machine Learning
Biodiversity
Entomology
Diabetes and Endocrinology
Epidemiology
Molecular Biology
Internal Medicine
Gynecology and Obstetrics
Women's Health

Goo Jun

PeerJ Editor & Author

Summary

I am currently an assistant professor at the University of Texas Health Science Center at Houston. I work on statistical genetics, computational biology, bioinformatics, and sequence data analysis. With backgrounds in machine learning and data mining, my research is focused on development of computational and statistical methods for analysis of massive data to understand genetics and biology of complex traits. I have been working on the analysis of large-scale next-generation sequencing data, for which I developed statistical models and software pipelines for detecting sample contamination, variant discovery, machine-learning based variant filtering, and genotyping of structural variations. I also work on genetics of diabetes, obesity, and related traits and study of metabolomic and microbiome compositions related to genetics of common and complex traits.

Bioinformatics Computational Biology Computational Science Computer Vision Data Mining & Machine Learning Diabetes & Endocrinology Epidemiology Genetics Genomics Mathematical Biology Medical Genetics Obesity Statistics

Editorial Board Member

PeerJ - the Journal of Life & Environmental Sciences

Past or current institution affiliations

University of Texas Health Center at Houston

Work details

Assistant Professor

University of Texas Health Center at Houston
October 2014
Human Genetics Center

Websites

  • Google Scholar

PeerJ Contributions

  • Edited 11

Academic Editor on

December 13, 2023
Developing a multi-institutional nomogram for assessing lung cancer risk in patients with 5–30 mm pulmonary nodules: a retrospective analysis
Yongjie Jiang, Taibing Deng, Yuyan Huang, Bi Ren, Liping He, Min Pang, Li Jiang
https://doi.org/10.7717/peerj.16539 PubMed 38107565
July 7, 2021
Construction and validation of a 15-gene ferroptosis signature in lung adenocarcinoma
Guangxu Tu, Weilin Peng, Qidong Cai, Zhenyu Zhao, Xiong Peng, Boxue He, Pengfei Zhang, Shuai Shi, Yongguang Tao, Xiang Wang
https://doi.org/10.7717/peerj.11687 PubMed 34277151
January 13, 2021
Geographic disparities, determinants, and temporal changes in the prevalence of pre-diabetes in Florida
Jennifer Lord, Shamarial Roberson, Agricola Odoi
https://doi.org/10.7717/peerj.10443 PubMed 33520433
November 27, 2019
Evaluation of performance of leading algorithms for variant pathogenicity predictions and designing a combinatory predictor method: application to Rett syndrome variants
Satishkumar Ranganathan Ganakammal, Emil Alexov
https://doi.org/10.7717/peerj.8106 PubMed 31799076
June 14, 2019
Age-related late-onset disease heritability patterns and implications for genome-wide association studies
Roman Teo Oliynyk
https://doi.org/10.7717/peerj.7168 PubMed 31231601
May 31, 2019
ConFindr: rapid detection of intraspecies and cross-species contamination in bacterial whole-genome sequence data
Andrew J. Low, Adam G. Koziol, Paul A. Manninger, Burton Blais, Catherine D. Carrillo
https://doi.org/10.7717/peerj.6995 PubMed 31183253
February 4, 2019
LiBiNorm: an htseq-count analogue with improved normalisation of Smart-seq2 data and library preparation diagnostics
Nigel P. Dyer, Vahid Shahrezaei, Daniel Hebenstreit
https://doi.org/10.7717/peerj.6222 PubMed 30740268
July 25, 2018
Integrative machine learning analysis of multiple gene expression profiles in cervical cancer
Mei Sze Tan, Siow-Wee Chang, Phaik Leng Cheah, Hwa Jen Yap
https://doi.org/10.7717/peerj.5285 PubMed 30065881
July 13, 2018
SECAPR—a bioinformatics pipeline for the rapid and user-friendly processing of targeted enriched Illumina sequences, from raw reads to alignments
Tobias Andermann, Ángela Cano, Alexander Zizka, Christine Bacon, Alexandre Antonelli
https://doi.org/10.7717/peerj.5175 PubMed 30023140
May 4, 2018
EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation
Afshine Amidi, Shervine Amidi, Dimitrios Vlachakis, Vasileios Megalooikonomou, Nikos Paragios, Evangelia I. Zacharaki
https://doi.org/10.7717/peerj.4750 PubMed 29740518
August 14, 2017
GeNET: a web application to explore and share Gene Co-expression Network Analysis data
Amit P. Desai, Mehdi Razeghin, Oscar Meruvia-Pastor, Lourdes Peña-Castillo
https://doi.org/10.7717/peerj.3678 PubMed 28828272