Dr. Leung is professor of mathematics and director of Bioinformatics and Computational Science, interested in finding ways to predict structures and functional sites of molecular sequences using mathematical modeling.

• Student Choice Award for Outstanding Teaching - Department of Mathematical Sciences, UTEP (05/09/2017)
• Outstanding Performance Award in Securing Extramural Funding - Office of Research and Sponsored Projects, UTEP (04/01/2015-04/30/2015)
• Outstanding Performance Award in Securing Extramural Funding - Office of Research and Sponsored Projects, UTEP (04/01/2008-04/30/2008)
• Professor Y.C. Wong Visiting Lectureship - Department of Mathematics, University of Hong Kong (01/01/2004-12/31/2004)
• Andrew Mellon Foundation Research Award - Institute of Population and Resource Studies, Stanford University (01/01/1986-12/31/1986)

• Ph D in Mathematics, Stanford University (1989)
• MS in Computer Science, Stanford University (1988)
• M. Phil. in Mathematics, University of Hong Kong (1983)
• BS in Mathematics, University of Hong Kong (1980)

• Identification of Hub Genes in Different Stages of Colorectal Cancer through an Integrated Bioinformatics Approach Int. J. Environ. Res. Public Health 18 (2021), Abhijeet R. Patil, Ming-Ying Leung, Sourav Roy.
• Understanding the binding of the same ligand to GPCRs of different families IEEE International Conference on Bioinformatics and Biomedicine (2021), Kwabena O. Dankwah, Jonathon E. Mohl, Khodeza Begum, Ming-Ying Leung Leung.
• GPCR-PEnDB: A database of protein sequences and derived features to facilitate prediction and classification of G protein-coupled receptors Database (2020), Khodeza Begum, Jonathon E. Mohl, Fredrick Ayivor, Eder E. Perez, Ming-Ying Leung.
• ISOGlyP: de novo prediction of isoform specific mucin-type O-glycosylation Glycobiology (2020), Jonathon E. Mohl, Thomas Gerken, Ming-Ying Leung.
• Predicting mucin-type O-Glycosylation using enhancement value products from derived protein features Journal of Theoretical and Computational Chemistry 19 3 (2020), Jonathon E. Mohl, Thomas Gerken, Ming-Ying Leung.
• Computational Prediction of Functional Effects for Cancer Related Genetic Sequence Variants IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2020), Bofei Wang, Jonathon E. Mohl, Ming-Ying Leung.
• Computational Prediction of Functional Effects for Cancer Related Genetic Sequence Variants IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2020), Bofei Wang, Jonathon E. Mohl, Ming-Ying Leung.
• Prediction and Classification of G protein-coupled receptors using Penalized Multinomial Logistic Regression PLoS ONE (2020), Fredrick Ayivor, Khodeza Begum, Jonathon E. Mohl, Ming-Ying Leung.
• Analyzing epigenetics data using feature ranking with various classifiers Computational and Mathematical Biophysics 7 (2019), Abhijeet R. Patil, Fredrick Ayivor, Jonathon E. Mohl, Ming-Ying Leung, Sangjin Kim.
• G Protein-Coupled Receptor (GPCR) Pipeline for Sequence Prediction Available at http://gpcr.utep.edu. Accessed 10/28/2019 (2019), Ming-Ying Leung, Jonathon E. Mohl, Felix D. Guerrero, Sergio Munoz, Anastasia Kellogg.
• Parsing Next Generation Sequencing Data in Parallel Environments for Downstream Genetic Variation Analysis Journal of Computational Science Education 9(2):37-45. Available at doi.org/10.22369/issn.2153-4136/9/2/5 (2018), Mariana Vasquez, Jonathon E. Mohl, Ming-Ying Leung.
• Scan Statistics Applications in Genomics In: Handbook of Scan Statistics, Glaz, J. and Koutras, M.V. (Eds.); Springer, New York. Available at doi.org/10.1007/978-1-4614-8414-1_42-1 (2018), Ming-Ying Leung.
• Evidence for regional aeolian transport of freshwater metazoans in arid regions Limnology and Oceanography Letters 3(4):320-330. Available at doi.org/10.1002/lol2.10072 (2018), Jose A. Rivas, Jonathon E. Mohl, R S. Van Pelt, Ming-Ying Leung, Robert L. Wallace, Thomas E. Gill, Elizabeth J. Walsh.
• Evidence for regional aeolian transport of freshwater metazoans in arid regions Limnology and Oceanography Letters 3 (2018), Jose A. Rivas, John Mohl, R S. Van Pelt, Ming-Ying Leung, Robert L. Wallace, Thomas E. Gill, Elizabeth J. Walsh.
• Evidence for regional aeolian transport of freshwater metazoans in arid regions Limnology and Oceanography Letters 3 4 (2018), Jose A. Rivas, John Mohl, R S. Van Pelt, Ming-Ying Leung, Robert L. Wallace, Thomas E. Gill, Elizabeth J. Walsh.
• Bioinformatic prediction of G protein-coupled receptor encoding sequences from the transcriptome of the foreleg, including the Haller's organ, of the cattle tick, Rhipicephalus australis PLoS ONE 12(2): e0172326. Available at dx.doi.org/10.1371/journal.pone.0172326 (2017), Sergio Munoz, Felix D. Guerrero, Anastasia Kellogg, Andrew M. Heekin, Ming-Ying Leung.

• Computational prediction of functional effects for cancer related genetic sequence variants (2020), Volume http://ieeebibm.org/BIBM2020/, online, Bofei Wang, Jonathon E. Mohl, Ming-Ying Leung.
• Computational prediction of functional effects for cancer related genetic sequence variants (2020), Volume http://ieeebibm.org/BIBM2020/, online, Bofei Wang, Jonathon E. Mohl, Ming-Ying Leung.
• Statistical models for predicting functional effects of genetic sequence variants in cancer (2020), Ming-Ying Leung.
• Scan statistics for finding inversion clusters in genomic sequences (2020), Ming-Ying Leung.
• Using derived protein feature enhancement values to calculate the propensity for mucin-type O-glycosylation with the ISOGlyP program (2020), Jonathon E. Mohl, Thomas Gerken, Ming-Ying Leung.
• ISOGlyP: de novo prediction of isoform specific mucin-type O-glycosylation (2020), Volume Online, Ming-Ying Leung, Jonathon E. Mohl.
• Identification and design of transferase specific mucin-type O-glycosylation peptides using ISOGlyP’s selective peptide function (2019), Jonathon E. Mohl, Thomas A. Gerken, Ming-Ying Leung.
• A computational method for predicting functional effects of cancer-related genetic sequence variants (2019), Bofei Wang, Jonathon E. Mohl, Ming-Ying Leung.
• Compiling structural data for predicting functional roles of G-protein coupled receptors (2019), Owusu K. Dankwah, Khodeza Begum, Ming-Ying Leung.
• A data conversion program for parsing variant calling format files for input into OncoMiner (2019), Bofei Wang, Jonathon E. Mohl, Ming-Ying Leung.
• Accuracy assessment of web-based bioinformatics tools for G protein-coupled receptor prediction (2019), Eder Perez, Khodeza Begum, Jonathon E. Mohl, Ming-Ying Leung.
• Comparison of different statistical and machine learning methods for predicting G protein-coupled receptors (2019), Fredrick Ayivor, Jonathon E. Mohl, Ming-Ying Leung.
• Continued development of the OncoMiner Circos diagram for visualizing exonic variant effects in pediatric acute myeloid leukemia (2019), Angelica Marquez, Jonathon E. Mohl, Ming-Ying Leung.
• Organizing and visualizing results from Cuffdiff analysis of RNAseq data (2019), Karla P. Godinez Macias, Jonathon E. Mohl, Ming-Ying Leung.
• Whole exome sequence meta-data collection for detecting genetic variants in prostate cancer (2019), David Armendariz, Jonathon E. Mohl, Ming-Ying Leung.
• GPCR-PEnDB: A database of protein sequences and derived features to facilitate prediction and classification of G protein-coupled receptors (2018), Khodeza Begum, Jonathon E. Mohl, Ming-Ying Leung.
• Bioinformatics workflow for RNA-seq data analysis (2018), Karla P. Godinez Macias, Abhijeet R. Patil, Jonathon E. Mohl, Ming-Ying Leung.
• GPCR-PEnDB: A database of protein sequences and derived features to facilitate prediction and classification of G protein-coupled receptors (2018), Khodeza Begum, Jonathon E. Mohl, Ming-Ying Leung.
• Integrating statistical and machine learning algorithms for predicting and classifying G protein-coupled receptors (2018), Fredrick Ayivor, Ming-Ying Leung.
• A data conversion script for parsing variant calling format file (2018), Bofei Wang, Jonathon E. Mohl, Ming-Ying Leung.
• Assessment of web-based G protein-coupled receptor prediction and classification bioinformatics tools (2018), Eder Perez, Khodeza Begum, Jonathon E. Mohl, Ming-Ying Leung.
• Bioinformatics workflow for RNA-seq data analysis (2018), Abhijeet R. Patil, Karla P. Godinez Macias, Jonathon E. Mohl, Ming-Ying Leung.
• Integrated statistical and machine learning algorithms for predicting and classifying G protein-coupled receptors (2018), Fredrick Ayivor, Ming-Ying Leung.
• Organizational complexity of the insulin-like growth factor 2 gene and locus in vertebrates (2018), Kabita Baral, Jonathon E. Mohl, Ming-Ying Leung, Peter Rotwein.
• Identification of exonic variants for pediatric acute myeloid leukemia at disease diagnosis, remission, and relapse (2018), Angelica Marquez, Jonathon E. Mohl, Ming-Ying Leung.
• Comparison of web-based bioinformatics tools for prediction of G protein-coupled receptors (2018), Eder Perez, Khodeza Begum, Jonathon E. Mohl, Ming-Ying Leung.
• Identification of exonic variants for pediatric acute myeloid leukemia at disease diagnosis, remission, and relapse (2018), Angelica Marquez, Jonathon E. Mohl, Ming-Ying Leung.
• Making sense of the complexity in GalNAc glycosylation prediction through a mix of laboratory experiments and data mining (2018), Jonathon E. Mohl, Thomas A. Gerken, Ming-Ying Leung.
• A pipeline for bioinformatics analysis of RNA-seq data (2018), Karla P. Godinez Macias, Jonathon E. Mohl, Ming-Ying Leung.
• Construction of the database GPCR-PEnDB to facilitate prediction and classification of G protein-coupled receptors (2018), Khodeza Begum, Jonathon E. Mohl, Ming-Ying Leung.
• GalNAc glycosylation prediction and effects of surrounding O-glycosylation sites (2018), Jonathon E. Mohl, Thomas A. Gerken, Ming-Ying Leung.
• Computational methods for prediction and classification of G protein-coupled receptors (2017), Khodeza Begum, Ming-Ying Leung.
• In silico drug design approach to insomnia therapeutics (2017), Madan Baral, Ricardo Avila, Haidar Ahmed, Jonathon E. Mohl, Ming-Ying Leung, Rachid Skouta.
• A kinetic approach to predicting O-glycosylation by ppGalNAc-Ts (2017), Jonathon E. Mohl, Thomas A. Gerken, Ming-Ying Leung.
• Pre-Processing NGS data on high performance computing platforms (2017), Mariana Vasquez, Jonathon E. Mohl, Ming-Ying Leung.
• HITUHMM (Homolog Identification Tool Using Hidden Markov Modeling) (2017), Jerry Duran, Daniel Carrillo, Jonathon E. Mohl, Ming-Ying Leung, Jennifer Apodaca.
• In silico evaluation of human OX2 orexin receptor (hOX2R) inhibitors using AutoDock and Glide (2017), Madan Baral, Ricardo Avila, Jonathon E. Mohl, Ming-Ying Leung, Rachid Skouta.
• A computational pipeline for predicting G protein-coupled receptors (GPCRs) (2017), Daniel Castaneda-Mollogon, Jonathon E. Mohl, Sergio Munoz, Felix Guerrero, Ming-Ying Leung.
• Parsing Next Generation Sequencing Data In a Parallel Environment for Input Into Downstream Genetic Variation Analysis (2017), Mariana Vasquez, Jonathon E. Mohl, Ming-Ying Leung.
• In silico evaluation of human OX2 orexin receptor (hOX2R) inhibitors using AutoDock and Glide (2017), Madan Baral, Ricardo Avila, Jonathon E. Mohl, Ming-Ying Leung, Rachid Skouta.
• In silico evaluation of human OX2 orexin receptor (hOX2R) inhibitors using AutoDock and Glide (2017), Madan Baral, Ricardo Avila, Jonathon E. Mohl, Ming-Ying Leung, Rachid Skouta.
• pfsearch: A Potential Tool for the Prediction of GPCR Proteins (2017), Dewan Shrestha, Jonathon E. Mohl, Sergio Munoz, Ming-Ying Leung.
• Runtime Optimization for Sorting Genetic Variants in a Parallel Environment (2017), Mariana Vasquez, Jonathon E. Mohl, Ming-Ying Leung.

• BBRC Research Infrastructure Core
• Initiation and Regulation of Mucin Type O-Glycosylation
• Bioinformatics Computing Core Facility
• Bioinformatics Core Facility, Border Biomedical Research Center
• Identification of molecular mechanisms in viral RNA replication complex assembly as novel targets for antiviral therapy