Scholar
Liqing Zhang
Google Scholar ID: erM6KTMAAAAJ
Professor @ Computer Science, Virginia Tech
Citations & Impact
Citations
4,955
H-index
31
i10-index
76
Publications
20
Co-authors
13
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- - Liu M, Watson LT, Zhang L. HMMvar-func: a new method for predicting the functional outcome of genetic variants. BMC Bioinformatics. 2015 Oct 30;16:351.
- - Hasan MS, Wu X, Zhang L. Performance evaluation of indel calling tools using real short-read data. Hum Genomics. 2015 Aug 19;9:20.
- - Chen W, Zhang L. The pattern of DNA cleavage intensity around indels. Sci Rep. 2015 Feb 9;5:8333.
- - Chen W, Zhang X, Brooker J, Lin H, Zhang L, Chou KC. PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions. Bioinformatics. 2015 Jan 1;31(1):119-20.
- - Li Z, Wu X, He B, Zhang L. Vindel: a simple pipeline for checking indel redundancy. BMC Bioinformatics. 2014 Nov 19;15:359.
- - Liu M, Watson LT, Zhang L. Quantitative prediction of the effect of genetic variation using hidden Markov models. BMC Bioinformatics. 2014 Jan 9;15:5.
- - Tran H, Porter J, Sun MA, Xie H, Zhang L. Objective and comprehensive evaluation of bisulfite short read mapping tools. Adv Bioinformatics. 2014;2014:472045.
- - Lewis SN, Nsoesie E, Weeks C, Qiao D, Zhang L. Prediction of disease and phenotype associations from genome-wide association studies. PLoS One. 2011;6(11):e27175.
Research Experience
- - Develop computational pipelines and databases for analyzing and mining metagenomics data to understand the impact of microbes on humans and our environment.
- - Develop short read mapping tool for whole genome bisulfite sequencing data and statistical tool for variant calling and methylation calling in bisulfite short reads.
- - Predict the effect of genetic variations such as SNPs and indels using hidden Markov models.
- - Develop tools for studying indels, including an indel annotation system to eliminate the redundancy problem in indel data storage.
Education
- - B.S. in Biochemistry, Lanzhou University, China
- - Ph.D. in Molecular Evolution, University of California, Irvine, with Dr. Brandon S. Gaut
- - Postdoc, University of Chicago, with Dr. Wen-Hsiung Li
Background
- Research interests include biotechnology, computational biology, and bioinformatics, particularly in developing computational and statistical tools for processing and analyzing complex biological data. Specializes in cancer genomics, metagenomics, evolutionary and comparative genomics, and population genomics.
Miscellany
- Professor, Department of Computer Science, Virginia Tech
