Hailong Meng, PhD

Hailong's research interests include data analysis on high-throughput data such as Next Generation Sequencing (NGS) data and microarray data, database management and implementation, and software development in bioinformatics and computational biology fields to discover novel biology.

My Recent Publications:

• Eisenbarth SC, Williams A, Colegio OR, Meng H, Strowig T, Rongvaux A, Henao-Mejia J, Thaiss CA, Joly S, Gonzalez DG, Xu L, Zenewicz LA, Haberman AM, Elinav E, Kleinstein SH, Sutterwala FS and Flavell RA: NLRP10 is a NOD-like receptor essential to initiate adaptive immunity by dendritic cells. Nature. 2012 Apr 25;484 (7395) :510-3.
• Marshall HD, Chandele A, Jung YW, Meng H, Poholek AC, Parish IA, Rutishauser R, Cui W, Kleinstein SH, Craft J and Kaech SM: Differential expression of Ly6C and T-bet distinguish effector and memory Th1 CD4(+) cell properties during viral infection. Immunity. 2011 Oct 28;35 (4) :633-46.
• H. Meng, A. Joyce, D. Adkins, P. Basu, Y. Jia, G. Li, T. Sengupta, B. Zedler, L. Murrelle, and E. Van den Oord. “A statistical method for excluding non-variable CpG sites in high-throughput DNA methylation profiling.” BMC Bioinformatics 11:227, 2010.
• H. Meng, L. Murrelle, and G. Li. “Identification of a small optimal subset of CpG sites as biomarkers from high-throughput DNA methylation profiles.” BMC Bioinformatics 9:457, 2008.
• H. Meng, A. Banerjee, and L. Zhou. “BLISS 2.0: a web-based tool for predicting conserved regulatory modules in distantly-related orthologous sequences.” Bioinformatics 23(23):3249-3250, 2007.
• H. Meng, A. Banerjee, and L. Zhou. BLISS: “Binding-site Level Identification of Shared Signal-modules in DNA Regulatory Sequences.” BMC Bioinformatics 7:287, 2006.