Hailong Meng, PhD
Senior Bioinformatics Scientist
Research & Publications
Biography
Coauthors
Selected Publications
- NLRP10 is a NOD-like receptor essential to initiate adaptive immunity by dendritic cells.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, Flavell RA. NLRP10 is a NOD-like receptor essential to initiate adaptive immunity by dendritic cells. Nature 2012, 484: 510-3. PMID: 22538615, PMCID: PMC3340615, DOI: 10.1038/nature11012.
- Differential expression of Ly6C and T-bet distinguish effector and memory Th1 CD4(+) cell properties during viral infection.Marshall HD, Chandele A, Jung YW, Meng H, Poholek AC, Parish IA, Rutishauser R, Cui W, Kleinstein SH, Craft J, Kaech SM. Differential expression of Ly6C and T-bet distinguish effector and memory Th1 CD4(+) cell properties during viral infection. Immunity 2011, 35: 633-46. PMID: 22018471, PMCID: PMC3444169, DOI: 10.1016/j.immuni.2011.08.016.
- A statistical method for excluding non-variable CpG sites in high-throughput DNA methylation profiling.Meng H, Joyce AR, Adkins DE, Basu P, Jia Y, Li G, Sengupta TK, Zedler BK, Murrelle EL, van den Oord EJ. A statistical method for excluding non-variable CpG sites in high-throughput DNA methylation profiling. BMC Bioinformatics 2010, 11: 227. PMID: 20441598, PMCID: PMC2876131, DOI: 10.1186/1471-2105-11-227.
- Identification of a small optimal subset of CpG sites as bio-markers from high-throughput DNA methylation profiles.Meng H, Murrelle EL, Li G. Identification of a small optimal subset of CpG sites as bio-markers from high-throughput DNA methylation profiles. BMC Bioinformatics 2008, 9: 457. PMID: 18954440, PMCID: PMC2613930, DOI: 10.1186/1471-2105-9-457.
- BLISS 2.0: a web-based tool for predicting conserved regulatory modules in distantly-related orthologous sequences.Meng H, Banerjee A, Zhou L. BLISS 2.0: a web-based tool for predicting conserved regulatory modules in distantly-related orthologous sequences. Bioinformatics (Oxford, England) 2007, 23: 3249-50. PMID: 17660203, PMCID: PMC2584781, DOI: 10.1093/bioinformatics/btm368.
- BLISS: binding site level identification of shared signal-modules in DNA regulatory sequences.Meng H, Banerjee A, Zhou L. BLISS: binding site level identification of shared signal-modules in DNA regulatory sequences. BMC Bioinformatics 2006, 7: 287. PMID: 16756683, PMCID: PMC1526457, DOI: 10.1186/1471-2105-7-287.