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Applications of deep neural networks to protein structure prediction
(University of Missouri--Columbia, 2018)
was then implemented as a standalone tool integrated into MUFold package and freely available to research community. A webserver called MUFold-SS-Angle is also developed for protein property prediction. The input feature to those deep neural networks is a carefully...
Protein transport : bioinformatics methods for understanding protein subcellular localization
(University of Missouri--Columbia, 2018)
an efficient and effective way for studying the protein subcellular localization on the whole-proteome level. Here, we present in this dissertation the bioinformatics methods for studying protein subcellular localization. We reviewed the studies of protein...
Large-scale soybean genome-wide variation workflow and association analysis using deep learning
(University of Missouri--Columbia, 2019)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] With the advances in next-generation sequencing technology and significant reduction in sequencing costs, it is now possible to sequence large collections ...