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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 ...
Design and implementation of a portable prTorrent simulator system
(University of Missouri--Columbia, 2010)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] The absence of a system that could perform as both a P2P simulator and a P2P emulator poses a barrier to researchers and developers. The objective of ...
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...
Improving protein structure prediction by deep learning and computational optimization
(University of Missouri--Columbia, 2019)
or web servers which are freely available to the scientific community....
Data mining and machine learning methods for chromosome conformation data analysis
(University of Missouri--Columbia, 2019)
are the first of their kind in the 3D chromosome and genome research field. All the methods are available as software tools that are freely available to the scientific community....
Protein contact distance and structure prediction driven by deep learning
(University of Missouri--Columbia, 2023)
-based protein distance prediction tool. Finally, CDPred, a 2D attention-based deep neural network is developed to predict inter-chain distances in protein complexes. All the methods are available as software tools or web servers which are freely available...
Protein tertiary structure prediction and refinement using deep learning
(University of Missouri--Columbia, 2022)
with the deep residual convolutional network- DeepDist was developed. (d) A novel end-to-end protein structure refinement tool called ATOMRefine was proposed. All the methods above have stand-alone software tools that are freely released to the public....
Increase students learning effectiveness and promote active learning in sexual health and body image through VR technology
(University of Missouri--Columbia, 2023)
[EMBARGOED UNTIL 5/1/2024] Virtual reality (VR) is becoming more popular in the field of education. Consequently, studies have investigated the implantation of VR, and the design and development aspects of creating VR ...
Continuous anticipation of acute kidney injury in the ICU
(University of Missouri--Columbia, 2023)
[EMBARGOED UNTIL 5/1/2024] Acute kidney injury (AKI) is a syndrome characterized by the abrupt loss of excretory function of the kidney. It is often diagnosed by the buildup of end products of nitrogen metabolism (urea and ...
The study of privacy issues in the use of cloud storage
(University of Missouri--Columbia, 2019)
publicly available storage providers....
Building environmentally-aware classifiers on streaming data
(University of Missouri--Columbia, 2022)
The three biggest challenges currently faced in machine learning, in our estimation, are the staggering quantity of data we wish to analyze, the incredibly small proportion of these data that are labeled, and the apparent ...
Computational protein structure prediction using deep learning
(University of Missouri--Columbia, 2020)
Protein structure prediction is of great importance in bioinformatics and computational biology. Over the past 30 years, many machine learning methods have been developed for this problem in homology-based and ab-initio ...
KOLAM : human computer interfaces fro visual analytics in big data imagery
(University of Missouri--Columbia, 2018)
tools that fulfill each of these requirements individually are available and well-used at present, there is still a need for tools that can combine the desired aspects of visualization, human computer interaction (HCI), data analysis, data management...
Dynamic agent safety logic : theory and applications
(University of Missouri--Columbia, 2019)
Modal logic is a family of logics for reasoning about relational structures, broadly construed. It sits at the nexus of philosophy, mathematics, software engineering, and economics. By modeling a target domain as a relational ...
Revealing the conformation and properties of human genome, protein molecules and protein domain co-occurrence network
(University of Missouri--Columbia, 2012)
Deoxyribonucleic acid, or DNA, encodes genetic instructions for the functionalities of organisms. For human beings, 23 pairs of chromosomes, containing DNA strands, form a globule structure in the nucleus. This chromosomal ...
Deep learning-based solutions for electron microscopy image analysis
(University of Missouri--Columbia, 2023)
Electron microscopy (EM) enables capturing high resolution images of very small structures in biological and non-biological specimens such as membrane proteins, viruses, subcellular structures, nanoparticles, or material ...