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Prediction Of O-Glycosylation In Proteins For Different Polypeptide Galnac-Transferases, Jonathon Edward Mohl 2019 University of Texas at El Paso

Prediction Of O-Glycosylation In Proteins For Different Polypeptide Galnac-Transferases, Jonathon Edward Mohl

Open Access Theses & Dissertations

Mucin-type O-Glycosylation is a posttranslational modification of proteins found on secreted and cell surface proteins in most animals which serves multiple important biological functions. Â In humans, mutations and changes in the expression levels of O-glycosylating polypeptide GalNac-transferases (GALNTs) have been linked to diabetes and multiple cancers. In most animals the GALNTs are compose a large family of isoforms with humans having 20 isoforms. Presently, the prediction of the sites that will be O-glycosylated is a difficult task due to each isoforms different substrate preference. In this work ISOGlyP, an isoform specific O-glycosylation prediction program, was redesigned and expanded to ...


Arabidopsis Bioinformatics Resources: The Current State, Challenges, And Priorities For The Future, Colleen Doherty, Justin Walley, Eve Wurtele, et al. 2019 North Carolina State University

Arabidopsis Bioinformatics Resources: The Current State, Challenges, And Priorities For The Future, Colleen Doherty, Justin Walley, Eve Wurtele, Et Al.

Genetics, Development and Cell Biology Publications

Effective research, education, and outreach efforts by the Arabidopsis thalianacommunity, as well as other scientific communities that depend on Arabidopsis resources, depend vitally on easily available and publicly‐shared resources. These resources include reference genome sequence data and an ever‐increasing number of diverse data sets and data types. TAIR (The Arabidopsis Information Resource) and Araport (originally named the Arabidopsis Information Portal) are community informatics resources that provide tools, data, and applications to the more than 30,000 researchers worldwide that use in their work either Arabidopsis as a primary system of study or data derived from Arabidopsis. Four ...


Cosc 302, Hiva Samadian Ph.D 2019 Colgate University

Cosc 302, Hiva Samadian Ph.D

Faculty Syllabi

This course provides a conceptual framework within which both theoretical and concrete analyses of computer algorithms may be developed. Topics to be covered include: time and space complexity; graph algorithms; problem-solving techniques including divide-and-conquer, greedy algorithms, and dynamic programming; intractability; and approximation.


Computational Tools For The Dynamic Categorization And Augmented Utilization Of The Gene Ontology, Eugene Waverly Hinderer III 2019 University of Kentucky

Computational Tools For The Dynamic Categorization And Augmented Utilization Of The Gene Ontology, Eugene Waverly Hinderer Iii

Theses and Dissertations--Molecular and Cellular Biochemistry

Ontologies provide an organization of language, in the form of a network or graph, which is amenable to computational analysis while remaining human-readable. Although they are used in a variety of disciplines, ontologies in the biomedical field, such as Gene Ontology, are of interest for their role in organizing terminology used to describe—among other concepts—the functions, locations, and processes of genes and gene-products. Due to the consistency and level of automation that ontologies provide for such annotations, methods for finding enriched biological terminology from a set of differentially identified genes in a tissue or cell sample have been ...


Automatic 13C Chemical Shift Reference Correction Of Protein Nmr Spectral Data Using Data Mining And Bayesian Statistical Modeling, Xi Chen 2019 University of kencutky

Automatic 13C Chemical Shift Reference Correction Of Protein Nmr Spectral Data Using Data Mining And Bayesian Statistical Modeling, Xi Chen

Theses and Dissertations--Molecular and Cellular Biochemistry

Nuclear magnetic resonance (NMR) is a highly versatile analytical technique for studying molecular configuration, conformation, and dynamics, especially of biomacromolecules such as proteins. However, due to the intrinsic properties of NMR experiments, results from the NMR instruments require a refencing step before the down-the-line analysis. Poor chemical shift referencing, especially for 13C in protein Nuclear Magnetic Resonance (NMR) experiments, fundamentally limits and even prevents effective study of biomacromolecules via NMR. There is no available method that can rereference carbon chemical shifts from protein NMR without secondary experimental information such as structure or resonance assignment.

To solve this problem, we ...


Genet-Cnv: Boolean Implication Networks For Modeling Genome-Wide Co-Occurrence Of Dna Copy Number Variations, Salvi Singh 2019 West Virginia University

Genet-Cnv: Boolean Implication Networks For Modeling Genome-Wide Co-Occurrence Of Dna Copy Number Variations, Salvi Singh

Graduate Theses, Dissertations, and Problem Reports

Lung cancer is the leading cause of cancer-related death in the world. Lung cancer can be categorized as non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC). NSCLC makes up about 80% to 85% of lung cancer cases diagnosed, whereas SCLC is responsible for 10% to 15% of the cases. It remains a challenge for physicians to identify patients who shall benefit from chemotherapy. In such a scenario, identifying genes that can facilitate therapeutic target discoveries and better understanding disease mechanisms and their regulation in different stages of lung cancer, remains an important topic of research.

In this ...


Cure-All- Large Scale Implementation Of Authentic Dna Barcoding Research Into First-Year Biology Curriculum, Oliver Hyman, Elizabeth Doyle, Joseph Harsh, Joanna Mott, Andrea Pesce, Bejan Rasoul, Kyle Seifert, Ray A. Enke 2018 Selected Works

Cure-All- Large Scale Implementation Of Authentic Dna Barcoding Research Into First-Year Biology Curriculum, Oliver Hyman, Elizabeth Doyle, Joseph Harsh, Joanna Mott, Andrea Pesce, Bejan Rasoul, Kyle Seifert, Ray A. Enke

Ray Enke Ph.D.

Growing calls in science education reform have emphasized wide-scale engagement of first-year undergraduate students in authentic research experiences; however, large course enrollments, inadequate student experience, limited resources and departmental inertia often create obstacles to reaching this goal. To help overcome these obstacles, the Department of Biology at James Madison University (JMU) has developed a cost-effective, scalable, and transferable semester-long (14- week) course-based undergraduate research experience (CURE) designed for large enrollment introductory biology labs. In this series of labs, first-year students use DNA barcoding to engage in authentic research practices drawn from the fields of ecology, molecular biology, and bioinformatics. These ...


Intro To Rna-Sequencing Lecture Slides, Ray A. Enke 2018 Selected Works

Intro To Rna-Sequencing Lecture Slides, Ray A. Enke

Ray Enke Ph.D.

Introductory lecture slides on eukaryotic RNA-sequencing analysis


Rna-Seq Bioinformatics Analysis Using Cyverse Discovery Environment, Ray A. Enke 2018 Selected Works

Rna-Seq Bioinformatics Analysis Using Cyverse Discovery Environment, Ray A. Enke

Ray Enke Ph.D.

This slide deck gives an overview of FastQC and Kallisto psudoalignment RNA-seq analysis using the CyVerse Discovery Environment cyberinfrastructure platform.


Saccharomyces Genome Database & Uniprot Bioinformatics Analysis, Ray A. Enke 2018 Selected Works

Saccharomyces Genome Database & Uniprot Bioinformatics Analysis, Ray A. Enke

Ray Enke Ph.D.

This in class activity introduces basic bioinformatics analysis using the Saccharomyces Genome Database (SGD) and the UniProt Database. The yeast URA3 gene is studied in this activity, however, any other yeast gene can be substituted. This activity is designed for novice instructors and students for implementation into core biology lecture or lab courses.


Application Of Graphical Models In Protein-Protein Interactions And Dynamics, Amir Vajdi Hoojghan 2018 University of Massachusetts Boston

Application Of Graphical Models In Protein-Protein Interactions And Dynamics, Amir Vajdi Hoojghan

Graduate Doctoral Dissertations

Every organism contains a few hundred to thousands of proteins. A protein is made of a sequence of molecular building blocks named amino acids. Amino acids will be referred to as residues. Every protein performs one or more functions in the cell. In order for a protein to do its job, it requires to bind properly to other partner proteins. Many genetic diseases such as cancer are caused by mutations (changes) of specific residues which cause disturbances in the functions of those proteins.

The problem of prediction of protein binding site is a crucial topic in computational biology. A protein ...


Polya Db3: A Database Cataloging Polyadenation Sites(Pas) Across Different Species And Their Conservation, Ram Mohan Nambiar 2018 New Jersey Institute of Technology

Polya Db3: A Database Cataloging Polyadenation Sites(Pas) Across Different Species And Their Conservation, Ram Mohan Nambiar

Theses

Polyadenation is an important process occurring in the messenger RNA that involves cleavage of 3 end nascent mRNAs and addition of poly(A) tails. For this thesis,I present PolyA DB3 ,a database cataloging cleavage and polyadenylation sites (PASs) in several genomes specifically for human,mouse,rat and chicken. This database is based on deep sequencing data. PASs are mapped by the 3’ region extraction and deep sequencing (3’READS) method, ensuring unequivocal PAS identification. Large volume of data based on diverse biological samples is used to increase PAS coverage and provide PAS usage information. Strand-specific RNA-seq data were used ...


Characterization Of A Protozoan Phosducin-Like Protein-3 (Phlp-3) Reveals Conserved Redox Activity, Rachel L. Kooistra, Robin David, Ana C. Ruiz, Kyle J. Haselton, Kaitlyn Kiernan, Andrew M. Blagborough, Ligin Solamen, Kenneth W. Olsen, Catherine Putonti, Stefan M. Kanzok 2018 Loyola University Chicago

Characterization Of A Protozoan Phosducin-Like Protein-3 (Phlp-3) Reveals Conserved Redox Activity, Rachel L. Kooistra, Robin David, Ana C. Ruiz, Kyle J. Haselton, Kaitlyn Kiernan, Andrew M. Blagborough, Ligin Solamen, Kenneth W. Olsen, Catherine Putonti, Stefan M. Kanzok

Biology: Faculty Publications and Other Works

We recently identified three novel thioredoxin-like genes in the genome of the protozoan parasite Plasmodium that belong to the Phosducin-like family of proteins (PhLP). PhLPs are small cytosolic proteins hypothesized to function in G-protein signaling and protein folding. Although PhLPs are highly conserved in eukaryotes from yeast to mammals, only a few representatives have been experimentally characterized to date. In addition, while PhLPs contain a thioredoxin domain, they lack a CXXC motif, a strong indicator for redox activity, and it is unclear whether members of the PhLP family are enzymatically active. Here, we describe PbPhLP-3 as the first phosducin-like protein ...


Characterization Of A Protozoan Phosducin-Like Protein-3 (Phlp-3) Reveals Conserved Redox Activity, Rachel L. Kooistra, Robin David, Ana C. Ruiz, Sean W. Powers, Kyle J. Haselton, Kaitlyn Kiernan, Andrew M. Blagborough, Ligin Solamen, Kenneth W, Olsen, Catherine Putonti, Stefan M. Kanzok 2018 Loyola University Chicago

Characterization Of A Protozoan Phosducin-Like Protein-3 (Phlp-3) Reveals Conserved Redox Activity, Rachel L. Kooistra, Robin David, Ana C. Ruiz, Sean W. Powers, Kyle J. Haselton, Kaitlyn Kiernan, Andrew M. Blagborough, Ligin Solamen, Kenneth W, Olsen, Catherine Putonti, Stefan M. Kanzok

Bioinformatics Faculty Publications

We recently identified three novel thioredoxin-like genes in the genome of the protozoan parasite Plasmodium that belong to the Phosducin-like family of proteins (PhLP). PhLPs are small cytosolic proteins hypothesized to function in G-protein signaling and protein folding. Although PhLPs are highly conserved in eukaryotes from yeast to mammals, only a few representatives have been experimentally characterized to date. In addition, while PhLPs contain a thioredoxin domain, they lack a CXXC motif, a strong indicator for redox activity, and it is unclear whether members of the PhLP family are enzymatically active. Here, we describe PbPhLP-3 as the first phosducin-like protein ...


The International Conference On Intelligent Biology And Medicine (Icibm) 2018: Bioinformatics Towards Translational Applications, Xiaoming Liu, Lei Xie, Zhijin Wu, Kai Wang, Zhongming Zhao, Jianhuan Ruan, Degui Zhi 2018 University of Texas Health Science Center at San Antonio

The International Conference On Intelligent Biology And Medicine (Icibm) 2018: Bioinformatics Towards Translational Applications, Xiaoming Liu, Lei Xie, Zhijin Wu, Kai Wang, Zhongming Zhao, Jianhuan Ruan, Degui Zhi

Publications and Research

The 2018 International Conference on Intelligent Biology and Medicine (ICIBM 2018) was held on June 10–12, 2018, in Los Angeles, California, USA. The conference consisted of a total of eleven scientific sessions, four tutorials, one poster session, four keynote talks and four eminent scholar talks, which covered a wild range of aspects of bioinformatics, medical informatics, systems biology and intelligent computing. Here, we summarize nine research articles selected for publishing in BMC Bioinformatics.


A New Insight Into Underlying Disease Mechanism Through Semi-Parametric Latent Differential Network Model, Yong He, Jiadong Ji, Lei Xie, Xinsheng Zhang, Fuzhong Xue 2018 Shandong University

A New Insight Into Underlying Disease Mechanism Through Semi-Parametric Latent Differential Network Model, Yong He, Jiadong Ji, Lei Xie, Xinsheng Zhang, Fuzhong Xue

Publications and Research

Background

In genomic studies, to investigate how the structure of a genetic network differs between two experiment conditions is a very interesting but challenging problem, especially in high-dimensional setting. Existing literatures mostly focus on differential network modelling for continuous data. However, in real application, we may encounter discrete data or mixed data, which urges us to propose a unified differential network modelling for various data types.

Results

We propose a unified latent Gaussian copula differential network model which provides deeper understanding of the unknown mechanism than that among the observed variables. Adaptive rank-based estimation approaches are proposed with the assumption ...


The Trim-Nhl Protein Nhl-2 Is A Co-Factor In The Nuclear And Somatic Rnai Pathways In C. Elegans, Gregory M. Davis, Shikui Tu, Jacqueline A. Wilce, Julie M. Claycomb, Zhiping Weng, Peter R. Boag 2018 Federation University

The Trim-Nhl Protein Nhl-2 Is A Co-Factor In The Nuclear And Somatic Rnai Pathways In C. Elegans, Gregory M. Davis, Shikui Tu, Jacqueline A. Wilce, Julie M. Claycomb, Zhiping Weng, Peter R. Boag

Program in Bioinformatics and Integrative Biology Publications and Presentations

Proper regulation of germline gene expression is essential for fertility and maintaining species integrity. In the C. elegans germline, a diverse repertoire of regulatory pathways promote the expression of endogenous germline genes and limit the expression of deleterious transcripts to maintain genome homeostasis. Here we show that the conserved TRIM-NHL protein, NHL-2, plays an essential role in the C. elegans germline, modulating germline chromatin and meiotic chromosome organization. We uncover a role for NHL-2 as a co-factor in both positively (CSR-1) and negatively (HRDE-1) acting germline 22G-small RNA pathways and the somatic nuclear RNAi pathway. Furthermore, we demonstrate that NHL-2 ...


Understanding The Impacts Of Current And Future Environmental Variation On Central African Amphibian Biodiversity, Courtney A. Miller 2018 University of New Orleans

Understanding The Impacts Of Current And Future Environmental Variation On Central African Amphibian Biodiversity, Courtney A. Miller

University of New Orleans Theses and Dissertations

Global climate change is projected to impact multiple levels of biodiversity by imposing strong selection pressures on existing populations, triggering shifts in species distributions, and reorganizing entire communities. The Lower Guineo-Congolian region in central Africa, a reservoir for amphibian diversity, is predicted to be severely affected by future climate change through rising temperatures and greater variability in rainfall. Geospatial modelling can be used to assess how environmental variation shapes patterns of biological variation – from the genomic to the community level – and use these associations to predict patterns of biological change across space and time. The overall goal of this dissertation ...


Minimum Information About An Uncultivated Virus Genome (Miuvig), Simon Roux, Evelien M. Adriaenssens, Bas E. Dutilh, Eugene V. Koonin, Andrew M. Kropinski, Mart Krupovic, Jens H. Kuhn, Rob Lavigne, J Rodney Brister, Arvind Varsani, Clara Amid, Ramy K. Aziz, Seth R. Bordenstein, Peer Bork, Mya Breitbart, Guy R. Cochrane, Rebecca A. Daly, Christelle Desnues, Melissa B. Duhaime, Joanne B. Emerson, François Enault, Jed A. Fuhrman, Pascal Hingamp, Philip Hugenholtz, Bonnie L. Hurwitz, Natalie N. Ivanova, Jessica M. Labonté, Kyung-Bum Lee, Rex R. Malmstrom, Manuel Martinez-Garcia, Ilene Karsch Mizrachi, Hiroyuki Ogata, David Páez-Espino, Marie-Agnès Petit, Catherine Putonti, Thomas Rattei, Alejandro Reyes, Francisco Rodriguez-Valera, Karyna Rosario, Lynn Schriml, Frederik Schulz, Grieg F. Steward, Matthew B. Sullivan, Shinichi Sunagawa, Curtis A. Suttle, Ben Temperton, Susannah G. Tringe, Rebecca Vega Thurber, Nicole S. Webster, Katrine L. Whiteson, Steven W. Whilhelm, K Eric Wommack, Tanja Woyke, Kelly C. Wrighton, Pelin Yilmaz, Takashi Yoshida, Mark J. Young, Natalya Yutin, Lisa Zeigler Allen, Nikos C. Kyrpides, Emiley A. Eloe-Fadrosh 2018 Loyola University Chicago

Minimum Information About An Uncultivated Virus Genome (Miuvig), Simon Roux, Evelien M. Adriaenssens, Bas E. Dutilh, Eugene V. Koonin, Andrew M. Kropinski, Mart Krupovic, Jens H. Kuhn, Rob Lavigne, J Rodney Brister, Arvind Varsani, Clara Amid, Ramy K. Aziz, Seth R. Bordenstein, Peer Bork, Mya Breitbart, Guy R. Cochrane, Rebecca A. Daly, Christelle Desnues, Melissa B. Duhaime, Joanne B. Emerson, François Enault, Jed A. Fuhrman, Pascal Hingamp, Philip Hugenholtz, Bonnie L. Hurwitz, Natalie N. Ivanova, Jessica M. Labonté, Kyung-Bum Lee, Rex R. Malmstrom, Manuel Martinez-Garcia, Ilene Karsch Mizrachi, Hiroyuki Ogata, David Páez-Espino, Marie-Agnès Petit, Catherine Putonti, Thomas Rattei, Alejandro Reyes, Francisco Rodriguez-Valera, Karyna Rosario, Lynn Schriml, Frederik Schulz, Grieg F. Steward, Matthew B. Sullivan, Shinichi Sunagawa, Curtis A. Suttle, Ben Temperton, Susannah G. Tringe, Rebecca Vega Thurber, Nicole S. Webster, Katrine L. Whiteson, Steven W. Whilhelm, K Eric Wommack, Tanja Woyke, Kelly C. Wrighton, Pelin Yilmaz, Takashi Yoshida, Mark J. Young, Natalya Yutin, Lisa Zeigler Allen, Nikos C. Kyrpides, Emiley A. Eloe-Fadrosh

Bioinformatics Faculty Publications

We present an extension of the Minimum Information about any (x) Sequence (MIxS) standard for reporting sequences of uncultivated virus genomes. Minimum Information about an Uncultivated Virus Genome (MIUViG) standards were developed within the Genomic Standards Consortium framework and include virus origin, genome quality, genome annotation, taxonomic classification, biogeographic distribution and in silico host prediction. Community-wide adoption of MIUViG standards, which complement the Minimum Information about a Single Amplified Genome (MISAG) and Metagenome-Assembled Genome (MIMAG) standards for uncultivated bacteria and archaea, will improve the reporting of uncultivated virus genomes in public databases. In turn, this should enable more robust comparative ...


Pasnet: Pathway-Associated Sparse Deepneural Network For Prognosis Prediction From High-Throughput Data, Jie Hao, Youngsoon Kim, Tae-Kyung Kim, Mingon Kang 2018 Kennesaw State University

Pasnet: Pathway-Associated Sparse Deepneural Network For Prognosis Prediction From High-Throughput Data, Jie Hao, Youngsoon Kim, Tae-Kyung Kim, Mingon Kang

Faculty Publications

Background: Predicting prognosis in patients from large-scale genomic data is a fundamentally challenging problem in genomic medicine. However, the prognosis still remains poor in many diseases. The poor prognosis maybe caused by high complexity of biological systems, where multiple biological components and their hierarchical relationships are involved. Moreover, it is challenging to develop robust computational solutions with high-dimension, low-sample size data. Results: In this study, we propose a Pathway-Associated Sparse Deep Neural Network (PASNet) that not only predicts patients’ prognoses but also describes complex biological processes regarding biological pathways for prognosis. PASNet models a multilayered, hierarchical biological system of genes ...


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