Xiaotu Ma, Ashwinikumar Kulkarni, Zhihua Zhang, Zhenyu Xuan, Robert Serfling and Michael Q. Zhang.
A highly efficient and effective motif discovery method for ChIP-seq/ChIP-chip data using positional information. Nucleic Acids Research, 2012, 1–1. 2012 - Publication
Ouyang W., Will L., Luo C.T., Yin N., Huse M., Kim M.V., Peng M., Chan P., Ma Q., Mo Y., Meijer D., Zhao K., Rudensky A.Y., Atwal G., Zhang M.Q.*, Li MO.* (2012) Novel Foxo1-dependent Transcriptional Programs Control Treg Cell Function. Nature. 491:554-9. PMID:23135404 2012 - Publication
Zhang M Q. Dissecting Splicing Regulatory Network by Integrative Analysis of CLIP-Seq Data.
Chapter in Bioinformatics for High Throughput Sequencing.
Rodríguez-Ezpeleta, Naiara; Hackenberg, Michael; Aransay, Ana M. (Eds.) 2012, p209. 2012 - Publication
Li J., Wu Y. Hu Y. Guo W., Zhang M.Q., Qi Y(2012) Global Identification and Characterization of Long Non-Coding RNAs in Arabidopsis. Cell Research, submitted. 2012 - Publication
He M., Liu Y., Wang X., Zhang M.Q., Hannon G.J., Huang Z.J. (2012) Cell-type based analysis of microRNA profiles in the mouse brain. Neuron. 73:35-48. PMID:22243745. 2012 - Publication
We H.*, Li Y.*, Malek S.N., Kim Y.C., Xu J., Chen P., Xiao F., Huang X., Zhou X., Xuan Z., Mankala S., Rowley J.D., Zhang M.Q., Wang S.M. (2012) New fusion transcripts identified in normal karyotype acute myeloid leukemia. PLoS ONE. 7:e51203. 2012 - Publication
Zhang J., Zhang Q., Lewis D., Zhang M.Q. (2012) A Bayesian Method for Disentangling Dependent Structure of Epistatic Interaction. Am. J. Biostat., 2:1-10. 2012 - Publication
Zhang C., Zhang M.Q. (2012) Identification of Splicing Factor Target Genes by High-throughput Sequencing. Chap. 51 in Alternative pre-mRNA Splicing: Theory and Protocols. Eds. Stamm S, Smith C, Luhrmann R. Wiley-Blackwell, Weinheim, Germany. 2012 - Publication
Zhang J., Wu Z., Gao C., Zhang M.Q. (2012) High-order interactions in Rheumatoid Arthritis detected by Bayesian method using GWAS data. American Medical Journal, 3:56-66. 2012 - Publication
Chicas A.*, Kapoor A.*, Wang X.*, Evertts A.G., Benjam G., Zhang M.Q., Bernstein E., Lowe S.W. (2012) H3K4 demethylation by Jarid1a and Jarid1b contributes to RB-mediated gene silencing during cellular senescence. PNAS, 109:8971-6. PMID:22615382. 2012 - Publication
Researchers from the School of Natural Sciences and Mathematics
at The University of Texas at Dallas have teamed with colleagues at the UT Southwestern Children’s Medical Center Research Institute
to create a new method for understanding the causes of genetic diseases, such as sickle cell anemia and some cancers.
The new system allows researchers to define the molecular structures that control the activity of regulatory DNA sequences in the human genome. Dr. Michael Q. Zhang
and postdoctoral researcher Dr. Yong Chen from Zhang’s Computational Biology Laboratory
— along with assistant professor of biological sciences Dr. Zhenyu Xuan
— collaborated on the formulation of the system called CAPTURE, or CRISPR Affinity Purification in situ of Regulatory Elements. Their work was published in a recent issue of the journal Cell.
Doctoral student Peng Xie came to The University of Texas at Dallas primarily to follow his mentor, Dr. Michael Q. Zhang
, and his passion, computational biology.
In the three years he has been on campus, Xie has exemplified the multitude of reasons that promising graduate students come to UT Dallas — opportunity, support and career advancement.
Xie is a member of the first cohort of the Eugene McDermott Graduate Fellows Program
. In addition to a stipend, tuition and fees, and a research budget, the McDermott fellowship provides professional development and enrichment opportunities.
Dr. Michael Zhang, a leading scientist in computational biology and genomic research, has joined UT Dallas as professor and Cecil H. and Ida Green Distinguished Chair of Systems Biology Science. Zhang’s chaired position in the School of Natural Sciences and Mathematics begins establishment of a new Center for Systems Biology. “In attracting a researcher of the stature of Dr. Zhang to our faculty, we expect to nucleate a major effort in genomics and computational biology that focuses on the genetic underpinnings of disease,” said Myron Salamon, dean of the School of Natural Sciences and Mathematics. Computational biology bridges the life sciences and quantitative sciences – mathematics, statistics and computer science – to understand living systems.