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Zhaohui Qin
PeerJ Editor & Author
1,035 Points

Contributions by role

Author 135
Editor 900

Contributions by subject area

Bioinformatics
Genomics
Microbiology
Epidemiology
Infectious Diseases
Computational Biology
Molecular Biology
Genetics
Computational Science
Statistics
Data Mining and Machine Learning
Zoology
Biotechnology
Nephrology
Surgery and Surgical Specialties
Medical Genetics
Data Science

Zhaohui S. Qin

PeerJ Editor & Author

Summary

Dr. Qin is currently an Associate Professor in the Department of Biostatistics and Bioinformatics at Rollins School of Public Health, Emory University. He is also a faculty member at the Department of Biomedical Informatics, Emory University School of Medicine. Dr. Qin received his B.S. degree in Probability and Statistics from Peking University in 1994 and Ph.D. degree in Statistics from University of Michigan in 2000. He was a postdoctoral fellow in Dr. Jun Liu’s group in Department of Statistics at Harvard University from 2000 to 2003. He joined the Department of Biostatistics at University of Michigan in 2003. In 2010, he moved to his current position in Emory University. Dr. Qin has more than 15 years of experience in statistical modeling and statistical computing with applications in statistical genetics and genomics. Recently, his research is focused on developing Bayesian model-based methods to analyze data generated from applications of next generation sequencing technologies such as ChIP-seq, RNA-seq and resequencing. Dr. Qin also actively collaborates with biomedical scientists and clinicians on various projects that utilizing next generation sequencing technologies to study cancer genomics. Dr. Qin has published more than 100 peer-reviewed research papers covering statistics, bioinformatics, statistical genetics and computational biology. He has supervised more than 10 graduate students and postdoctoral fellows.

Bioinformatics Genetics Genomics Microbiology Statistics

Editorial Board Member

PeerJ - the Journal of Life & Environmental Sciences

Past or current institution affiliations

Emory University

Work details

Associate Professor

Emory University
August 2010
Biostatistics and Bioinformatics
I have extensive experience in statistical modeling and computing with applications to statistical genetics and genomics. My recent research is focused on developing Bayesian model-based methods to analyze data generated from applications of next-generation sequencing technologies such as ChIP-seq, RNA-seq, Hi-C, WGBS, resequencing, and on developing software so that the methods can be easily adopted by the research community. I am also actively collaborating with biomedical scientists and clinicians on projects that utilize next-generation sequencing technologies to better understand genomics and epigenomics.

Websites

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PeerJ Contributions

  • Articles 1
  • Edited 7
October 18, 2016
The single-species metagenome: subtyping Staphylococcus aureus core genome sequences from shotgun metagenomic data
Sandeep J. Joseph, Ben Li, Robert A. Petit III, Zhaohui S. Qin, Lyndsey Darrow, Timothy D. Read
https://doi.org/10.7717/peerj.2571 PubMed 27781166

Academic Editor on

August 3, 2021
DLFF-ACP: prediction of ACPs based on deep learning and multi-view features fusion
Ruifen Cao, Meng Wang, Yannan Bin, Chunhou Zheng
https://doi.org/10.7717/peerj.11906 PubMed 34414035
May 19, 2021
SPMLMI: predicting lncRNA–miRNA interactions in humans using a structural perturbation method
Mingmin Xu, Yuanyuan Chen, Wei Lu, Lingpeng Kong, Jingya Fang, Zutan Li, Liangyun Zhang, Cong Pian
https://doi.org/10.7717/peerj.11426 PubMed 34055486
March 11, 2021
In silico candidate variant and gene identification using inbred mouse strains
Matthias Munz, Mohammad Khodaygani, Zouhair Aherrahrou, Hauke Busch, Inken Wohlers
https://doi.org/10.7717/peerj.11017 PubMed 33763305
January 13, 2021
Digital Cell Sorter (DCS): a cell type identification, anomaly detection, and Hopfield landscapes toolkit for single-cell transcriptomics
Sergii Domanskyi, Alex Hakansson, Thomas J. Bertus, Giovanni Paternostro, Carlo Piermarocchi
https://doi.org/10.7717/peerj.10670 PubMed 33520459
November 27, 2020
The mRNA landscape profiling reveals potential biomarkers associated with acute kidney injury AKI after kidney transplantation
Hui Bi, Min Zhang, Jialin Wang, Gang Long
https://doi.org/10.7717/peerj.10441 PubMed 33312771
February 3, 2020
Identification of key genes associated with multiple sclerosis based on gene expression data from peripheral blood mononuclear cells
Zhenwei Shang, Wenjing Sun, Mingming Zhang, Lidan Xu, Xueyuan Jia, Ruijie Zhang, Songbin Fu
https://doi.org/10.7717/peerj.8357 PubMed 32117605
September 30, 2019
Computational analysis of functional SNPs in Alzheimer’s disease-associated endocytosis genes
Han Jieh Tey, Chong Han Ng
https://doi.org/10.7717/peerj.7667 PubMed 31592138