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Due to continual advances in sequencing and omics technologies, biology is experiencing a big data revolution. Computational methods are required to interpret newly sequenced genomes and search the vast quantity of existing biological information to reveal previously uncharacterized functionality. The Doxey lab is interested in the development and application of computational methods to predict novel molecular functions in genomic, structural, and high-throughput datasets. The lab explores areas such as predicting novel protein families' functions by developing methods that combine sequence analysis and structural bioinformatics to predict and experimentally validate protein functions. Current research focuses on predicting new families of functions for bacterial flagellins, clostridial toxins, and proteolytic enzymes, as well as predicting evolutionary adaptations in genes and genomes through sequence analysis and phylogenetics. Additionally, comparative functional metagenomics is a key area of research, with the lab developing computational approaches to functionally annotate metagenomes and detect biochemically relevant differences. Professor Doxey actively seeks talented graduate and undergraduate students interested in bioinformatics, genomics, and molecular biology.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.