Computational Biology

Kelley and Didulo have weaponized bioinformatic education! As an undergraduate educator I am always looking for tools to help make the basic tenants of sequence data analysis understandable, and here it is! From standard BLAST to RNA structural alignments and probability analysis, this is a resource that every student of microbiome and molecular analysis should have. The balance between book and online material is well done, providing a framework to develop skills that a student can build upon. -Jack Gilbert, Faculty Director, The Microbiome Center; Professor, Department of Surgery, University of Chicago; Group Leader in Microbial Ecology, Argonne National Laboratory

Scott T. Kelley is a professor of biology at San Diego State University. He received his doctoral degree from the University of Colorado and his bachelor’s degree from Cornell University. His lab uses phylogenetic methods and culture-independent molecular tools to study environmental microbiology, and Kelley has published extensively on the human microbiome, built environment, and numerous natural environments.

Dennis Didulo is a data analytics and software engineer working at Becton, Dickinson and Company. He received his master’s degree in information technology at De La Salle University and his second master’s degree in bioinformatics at San Diego State University. He has development expertise in more than a dozen computer languages, as well as in database management, algorithm design, and systems engineering.

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