Browsing Department of Computer Science (MU) by Thesis Advisor "Cheng, Jianlin, 1972-"
Now showing items 1-11 of 11
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3D genome structure reconstruction from chromosomal contact data
(University of Missouri--Columbia, 2017)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Different cell types of an organism have the same DNA sequence, but they can function differently because their difference in 3D organization allows ... -
Computational methods for protein structure prediction and next-generation sequencing data analysis
(University of Missouri--Columbia, 2016)With the wide application of next-generation sequencing technologies, the number of protein sequences is increasing exponentially. However, only a tiny portion of proteins have experimentally verified structures. The huge ... -
Data mining and machine learning methods for chromosome conformation data analysis
(University of Missouri--Columbia, 2019)Sixteen years after the sequencing of the human genome, the Human Genome Project (HGP), and 17 years after the introduction of Chromosome Conformation Capture (3C) technologies, three-dimensional (3-D) inference and big ... -
Genome data analysis, protein function and structure prediction by machine learning techniques
(University of Missouri--Columbia, 2016)The raw information of a typical human genome has been generated at 2001 by Human Genome Project. However, since there are a huge amount of data, it is still a big challenge for people to understand them, and extract useful ... -
Improved computational methods of protein sequence alignment, model selection and tertiary structure prediction
(University of Missouri--Columbia, 2013)Protein sequence and profile alignment has been used essentially in most bioinformatics tasks such as protein structure modeling, function prediction, and phylogenetic analysis. We designed a new algorithm MSACompro to ... -
Improving protein structure prediction by deep learning and computational optimization
(University of Missouri--Columbia, 2019)Protein structure prediction is one of the most important scientific problems in the field of bioinformatics and computational biology. The availability of protein three-dimensional (3D) structure is crucial for studying ... -
MUPrimer : a tool for finding allele specific PCR-primers for homologous gene sequences
(University of Missouri--Columbia, 2009)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Polymerase chain reaction (PCR) amplification of specific regions of DNA has proven to be a powerful tool in molecular biology research. Synthetic ... -
Predicting protein residue-residue contacts and disorder
(University of Missouri--Columbia, 2013)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Predicting a protein's three dimensional structure from its corresponding sequence has long been an extremely important and challenging problem in the ... -
Probabilistic graphical models for protein structure prediction
(University of Missouri--Columbia, 2016)Computationally predicting the folded and functional three-dimensional structure of a protein molecule from its amino acid sequence with high degree of accuracy is critically important in structural bioinformatics and has ... -
Resdiue-residue contact driven protein structure prediction using optimization and machine learning
(University of Missouri--Columbia, 2017)Significant improvements in the prediction of protein residue-residue contacts are observed in the recent years. These contacts, predicted using a variety of coevolution-based and machine learning methods, are the key ... -
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 ...