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Due to continual advances in sequencing and "omics" technologies, biology is undergoing a big data revolution. Computational methods are required to interpret newly sequenced genomes and to 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 that can predict novel molecular functions from genomic, structural, and high-throughput datasets. The lab explores several overlapping research areas, including predicting novel protein families' functions by developing methods that combine sequence analysis and structural bioinformatics, and focusing on bacterial flagellins and clostridial toxins. They also investigate evolutionary adaptations of genes and genomes, using sequence analysis and phylogenetics to pinpoint adaptive events. Comparative functional metagenomics is another area of focus, where the lab develops computational approaches to functionally annotate metagenomes. Professor Doxey actively seeks eager, talented graduate and undergraduate students interested in bioinformatics, genomics, and molecular biology.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.