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bioinformatics. They are writing an algorithm that will take huge amounts of data on protein sequences and produce conclusions, notice patterns and speed up analysis for scientists to use. It is a little bit of biology, statistics, mathematics and computer science. One application of this research is more efficient pharmaceutical drug design. “This is the first time at PLU that computer science has attempted this kind of research,” Cao said. “It is very new and the experience can be used for other students
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Computer-Based Protein Modeling Biochemistry Lab Kasey Johnson, Senior Capstone Seminar Machine learning is a fast developing field with great promise into applications of bioinformatics. One of these applications is using machine learning to train models that can accurately choose best predicted models for protein fold predictions. Currently there is no laboratory exercise published that centers around using a machine learning based predictor for both understanding protein modeling as well as machine
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