Browsing University of Missouri-Columbia by Thesis Advisor "Cheng, Jianlin, 1972-"
Now showing items 1-12 of 12
-
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 ... -
Fully automated deep supervised and unsupervised learning approaches for 3D protein cryo-EM density map reconstruction
(University of Missouri--Columbia, 2019)One of the most important components of the human body is the protein. Protein uses for building and repairing tissues, making enzymes and hormones. It is the essential building block of bones, muscles, cartilages, skin ... -
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 ...