biology banner

CLFS_logo


A - Z

titleboxMICHAEL P. CUMMINGS titlebox

professor pictureAssociate Professor

email:mike@umiacs.umd.edu
phone:
301.405.9903 (office)
fax:301.314.1341
office:3121 Biomolecular Sciences Building
graduate programs: Biology, BEES, UMIACS
bullet visit lab page   bullet most recent publications


RESEARCH INTERESTS

Our research is in the areas of computational biology and molecular evolutionary genetics, and includes examination of patterns and processes of sequence evolution to understand molecular evolutionary mechanisms that bring about biological change. The basis for much of the research is comparative and includes several levels of biological organization. In addition to answering specific biological questions, a substantial portion of my research has focused on experimental design and data analysis methods. Some of this work has involved examination of the sampling properties of DNA sequence data for evolutionary inference, sampling of genetic diversity in relationship to conservation reserve design, comparison of maximum likelihood bootstrap and Bayesian posterior probability values, hypothesis testing using tree-based statistical models, and more recently genetic differentiation.

Recent Publications


Grand, J., M. P. Cummings, A. G. Rebelo, T. H. Ricketts, and M. C. Neel. 2007. Biased data reduce efficiency and effectiveness of conservation reserve networks. Ecology Letters 10:364-374. PDF

Bazinet, A. L., D. S. Myers, J. Fuetsch and M. P. Cummings. 2007. Grid Services Base Library: a high-level, procedural application program interface for writing Globus-based Grid services. Future Generation Computer Systems 23:517-522. PDF

Lee, S., T. D. Wang, N. Hashmi and M. P. Cummings. 2007. Bio-STEER: a Semantic Web workflow tool for Grid computing in the life sciences. Future Generation Computer Systems 23:497-509. PDF

Cummings, M. P., and A. Meyer. 2005. Magic bullets and golden rules: data sampling in molecular phylogenetics. Zoology 108:329-336. PDF

Parr, C. S., and M. P. Cummings. 2005. Data sharing in ecology and evolution. Trends in Ecology and Evolution 20:362-363. PDF.