You can check out the pictorial history of Wheaton's Genomics Group. It is a time of exciting science. The extreme complexity and enormous length of DNA molecules have made their study a daunting task, far more than any scientist could tackle alone. However, aided by cleverly designed computer programs as tools, it is possible to study, search, and analyze entire DNA strands in seconds.
Our research continues to pour over into our teaching. Our work in the lab has influenced the undergraduate curricula in biology and computer science (see Educational Materials). This in turn contributes to a pipeline of students who work with us on our research; for example, applying authorship attribution techniques in search of genomic signatures to detect putative horizontal transfer events and the construction of a Motif Lexicon (or DNA Dictionary). In addition, LeBlanc and Dyer have team-taught multiple iterations of a course called "DNA" where students learn to write small scripts to morph and mash DNA data, including the creative use of regular expressions in Perl to explore DNA sequences. They have written a book to help novice programmers learn to write programs for sequence analyses Perl for Exploring DNA (Oxford University Press, 2007).
|Dr. Betsey Dexter Dyer a Professor of Biology at Wheaton College, is most responsible for keeping the software-types busy. She is interested in the grammar and syntax of gene regulation and all topics regarding microbes.|
Dr. Mark D. LeBlanc is Meneely Professor of Computer Science at Wheaton College. Mark tries to manage the software-types. He is interested in machine learning and computational sylistics. He has grown to love microbes.
|Dr. Michael J. Kahn is Professor of Mathematics and Statistics at Wheaton College. Mike recently introduced the group to the programming language "R" and serves as the group's current lead on statistical analysis. He also makes strong coffee which is working out quite well.|
You can check out the History of the Wheaton College Genomics Group.
Funding : We thank the generous support and funding that we have received from the National Science Foundation, Mars Fellowships, Davis Educational Grants, The Filene Center for Work and Learning, Wheaton Research Partners, Wheaton Foundation Grants, and Wheaton's Provost Office.