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. Never before has software power faced such a gush of data that represents the “stuff of life”. Ah, but that is the challenge, the mystery. We seek novel views on microbes and their collective microbiomes. You can check out the pictorial history of Wheaton’s Genomics Group.
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 Python to explore DNA sequences.
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.
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.