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Bioinformatics methods for protein identification using peptide mass fingerprinting data
(University of Missouri--Columbia, 2009)
development: we implemented our computational methods in an open source package "ProteinDecision" which is freely available upon request. ....
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...
Genome scale meta analysis of microarrays for biological inferences
(University of Missouri--Columbia, 2009)
In this present era of high-throughput technologies, meta-analysis is being widely used to integrate multiple similar high throughput studies. Here we propose a novel framework for applying meta-analysis techniques on ...
PRIMEGENSv2 : a service based platform using object oriented model view controller design pattern
(University of Missouri--Columbia, 2009)
There are a number of tools and software packages dealing with the problem of efficient primer and probe design. In an era of fast paced research it is rather difficult for any researcher to change their favorite tool. So ...
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 ...