Academics: Faculty

Hong Qin, Ph.D.

Title: Assistant Professor, Department of Biology
Email: hqin@spelman.edu
Office: 404-270-5757; fax, 404-270-5725
Location: Science Center 270, Box1183

Degree(s) | Year Awarded:
Ph.D., Biochemistry and Molecular Biology
University of Chicago, 2001
B. S., Biology, Tsinghua University, 1991

Course(s) Taught:
BIO386 Genomics, Proteomics, and Bioinformatics
BIO125 Molecular Biology and Genomics
BIO233 Microbiology
CIS115 Introduction to Computing and Informatics

Research Interests:
I study cellular aging in the model organism of the budding yeast. By taking advantages of natural variation, I aim to uncover the genetic mechanisms of longevity. I use mathematical modelling and computational approaches to study the emergent aspects of cellular aging based on gene/protein networks. I am also interested in microbial genomics and molecular evolution.

Recent Awards:

  • NSF RUI, testing the network hypothesis of cellular aging, 2010-2013.
  • NIMBioS sabbatical fellowship. Summer 2013
  • Quality Education for Minorities (QEM) Network, Faculty Development Program, 2011~2012
  • NSF CCLI, 2009-2010

Recent Publications:
Qin, H. and A. Driks, Phylogenomic insights on the Bacillus spore coat. Submitted, in revision.
2. Guo, Z., A.B. Adomas, E.D. Jackson, H. Qin, and J.P. Townsend, SIR2 and other genes are abundantly expressed in long-lived natural segregants for replicative aging of the budding yeast Saccharomyces cerevisiae. FEMS Yeast Res, 2011. 11(4): p. 345-55.
3. Kravets, A., H. Qin, A. Ahmad, G. Bethlendy, Q. Gao, and E. Rustchenko, Widespread occurrence of dosage compensation in Candida albicans. PLoS ONE, 2010. 5(6): p. e10856.
4. Qin, H., Teaching computational thinking through bioinformatics to biology students. Proceedings of 40th ACM Technical Symposium on Computer Science Education, 2009: p. 188-191.
5. Qin, H. and L. Yang, Detection of changes in transitive associations by shortest-path analysis of protein interaction networks integrated with gene expression profiles. Proceedings of the IEEE International Conference on Biomedical Engineering and Informatics, 2008. 1: p. 418-423.
6. Qin, H., M. Lu, and D.S. Goldfarb, Genomic instability is associated with natural life span variation in Saccharomyces cerevisiae. PLoS ONE, 2008. 3(7): p. e2670.
7. Gilchrist, M.A., H. Qin, and R. Zaretzki, Modeling SAGE tag formation and its effects on data interpretation within a Bayesian framework. BMC Bioinformatics, 2007. 8: p. 403.
8. Qin, H. and M. Lu, Natural variation in replicative and chronological life spans of Saccharomyces cerevisiae. Exp Gerontol, 2006. 41(4): p. 448-56.
9. Baird, N.J., E. Westhof, H. Qin, T. Pan, and T.R. Sosnick, Structure of a folding intermediate reveals the interplay between core and peripheral elements in RNA folding. J Mol Biol, 2005. 352(3): p. 712-22.
10. Qin, H., W.B. Wu, J.M. Comeron, M. Kreitman, and W.H. Li, Intragenic spatial patterns of codon usage bias in prokaryotic and eukaryotic genomes. Genetics, 2004. 168(4): p. 2245-60.
11. Qin, H., H.H. Lu, W.B. Wu, and W.H. Li, Evolution of the yeast protein interaction network. Proc Natl Acad Sci U S A, 2003. 100(22): p. 12820-4.
12. Qin, H., T.R. Sosnick, and T. Pan, Modular construction of a tertiary RNA structure: the specificity domain of the Bacillus subtilis RNase P RNA. Biochemistry, 2001. 40(37): p. 11202-10.