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Jianguo Xia
PeerJ Author & Reviewer
470 Points

Contributions by role
Author 370
Preprint Author 70
Reviewer 30

Contributions by subject area
Bioinformatics
Computational Biology
Genetics
Genomics
Parasitology
Toxicology
Data Mining and Machine Learning
Molecular Biology
Ecotoxicology
Agricultural Science
Food Science and Technology
Microbiology
Ecosystem Science
Soil Science
Natural Resource Management

Jianguo Xia

PeerJ Author & Reviewer

Summary

My research is mainly on integrating computational methods and different omics technologies (metabolomics, RNAseq, microbiomics, chemoinformatics and biological networks) to understand gene-environment interactions, within the broad context of diet, microbiome, infectious agents and environmental chemicals.

Bioinformatics

Past or current institution affiliations

McGill University

Work details

Assistant Professor

McGill University
Institute of Parasitology

Websites

  • Xia Lab
  • Google Scholar

PeerJ Contributions

  • Articles 3
  • Preprints 2
February 27, 2020
Comprehensive phenotyping and transcriptome profiling to study nanotoxicity in C. elegans
Charles Viau, Orçun Haçariz, Farial Karimian, Jianguo Xia
https://doi.org/10.7717/peerj.8684 PubMed 32149031
October 29, 2019
T1000: a reduced gene set prioritized for toxicogenomic studies
Othman Soufan, Jessica Ewald, Charles Viau, Doug Crump, Markus Hecker, Niladri Basu, Jianguo Xia
https://doi.org/10.7717/peerj.7975 PubMed 31681519
September 28, 2018
Xeno-miRNet: a comprehensive database and analytics platform to explore xeno-miRNAs and their potential targets
Yannan Fan, Maria Habib, Jianguo Xia
https://doi.org/10.7717/peerj.5650 PubMed 30280028
July 3, 2019 - Version: 1
T1000: A reduced toxicogenomics gene set for improved decision making
Othman Soufan, Jessica Ewald, Charles Viau, Doug Crump, Markus Hecker, Niladri Basu, Jianguo Xia
https://doi.org/10.7287/peerj.preprints.27839v1
April 25, 2018 - Version: 1
Xeno-miRNet: a comprehensive database and analytics platform to explore xeno-miRNAs and their potential targets
Yannan Fan, Maria Habib, Jianguo Xia
https://doi.org/10.7287/peerj.preprints.26887v1