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Chunmei Liu Ph.D.
Affiliation:
Howard University
Systems and Computer Science
"Informatics"
Title: Associate Professor
Rank:
Address:
2300 Sixth Street, NW 2120B LKD Downing Hall
Washington, DC 20059
Contact:
Email: [email protected]
Telephone: 202-865-0056
Narrative
Dr. Chunmei Liu's research interests lie in the field of Computational Biology, Bioinformatics, and
Algorithms. The primary thrust of her current research is in the development of computational
algorithms for protein structure prediction, protein-protein interaction, and peptide sequencing from
tandem mass spectral data. She is also interested designing efficient algorithms and the application
of high performance computing techniques to solve other computational science problems. Dr. Liu
has published many research articles on peer-reviewed journals and conferences. She is a recipient of
multiple grants and awards including 2009 NSF CAREER Award. She is currently Associate Professor
of the Department of Systems and Computer Science at Howard University.
Awards and Honors
2008 2009 Howard University - Funding for Award in Excellent
2009 2013 Howard University - NSF CAREER Award
Publications
1.
Liu C, Che D, Liu X, Song Y. Applications of machine learning in genomics and PubMed
systems biology. Comput Math Methods Med. 2013; 2013:587492.
2.
Li H, Liu C. A dynamic data-driven framework for biological data using 2D barcodes. PubMed
Comput Math Methods Med. 2012; 2012:892098.
3.
Li H, Liu C. Biomarker identification using text mining. Comput Math Methods Med. PubMed
2012; 2012:135780.
4.
Li H, Liu C, Burge L, Southerland W. Identification of two post-translational PubMed
modifications via tandem mass spectrometry. Int J Comput Biol Drug Des. 2012; 5(34):314-24.
5.
Li H, Liu C. Peptide sequence tag generation for tandem mass spectra containing
post-translational modifications. Int J Comput Biol Drug Des. 2012; 5(3-4):325-34.
6.
Liu C, Li H. In silico prediction of post-translational modifications. Methods Mol Biol. PubMed
2011; 760:325-40.
7.
Liu C, Burge L, Blake A. Algorithms and Time Complexity of the Request-Service PubMed
Problem. J Comb Optim. 2010 Aug 1; 20(2):180-193.
8.
Chen P, Liu C, Burge L, Li J, Mohammad M, Southerland W, Gloster C, Wang B. PubMed
DomSVR: domain boundary prediction with support vector regression from sequence
information alone. Amino Acids. 2010 Aug; 39(3):713-26.
9.
Chen P, Liu C, Burge L, Mahmood M, Southerland W, Gloster C. Protein fold PubMed
classification with genetic algorithms and feature selection. J Bioinform Comput Biol.
2009 Oct; 7(5):773-88.
PubMed
10. Song Y, Liu C, Huang X, Malmberg RL, Xu Y, Cai L. Efficient parameterized algorithms PubMed
for biopolymer structure-sequence alignment. IEEE/ACM Trans Comput Biol
Bioinform. 2006 Oct-Dec; 3(4):423-32.
11. Liu C, Yan B, Song Y, Xu Y, Cai L. Peptide sequence tag-based blind identification of PubMed
post-translational modifications with point process model. Bioinformatics. 2006 Jul
15; 22(14):e307-13.
12. Liu C, Song Y, Yan B, Xu Y, Cai L. Fast de novo peptide sequencing and spectral PubMed
alignment via tree decomposition. Pac Symp Biocomput. 2006; 255-66.
13. Liu C, Song Y, Hu P, Malmberg RL, Cai L. Efficient annotation of non-coding RNA PubMed
structures including pseudoknots via automated filters. Comput Syst Bioinformatics
Conf. 2006; 99-110.
14. Song Y, Liu C, Malmberg RL, He C, Cai L. Memory efficient alignment between RNA PubMed
sequences and stochastic grammar models of pseudoknots. Int J Bioinform Res Appl.
2006; 2(3):289-304.
15. Song Y, Liu C, Malmberg R, Pan F, Cai L. Tree decomposition based fast search of PubMed
RNA structures including pseudoknots in genomes. Proc IEEE Comput Syst Bioinform
Conf. 2005; 223-34.
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