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Articles 1 - 11 of 11
Full-Text Articles in Life Sciences
Considerations And Best Practices In Animal Science 16s Ribosomal Rna Gene Sequencing Microbiome Studies, Margaret D. Weinroth, Aeriel D. Belk, Chris Dean, Noelle Noyes, Dana K. Dittoe, Michael J. Rothrock Jr, Steven C. Ricke, Phillip R. Myer, Madison T. Henniger, Gustavo A. Ramírez, Brian B. Oakley, Katie Lynn Summers, Asha M. Miles, Taylor B. Ault-Seay, Zhongtang Yu, Jessica L. Metcalf, James E. Wells
Considerations And Best Practices In Animal Science 16s Ribosomal Rna Gene Sequencing Microbiome Studies, Margaret D. Weinroth, Aeriel D. Belk, Chris Dean, Noelle Noyes, Dana K. Dittoe, Michael J. Rothrock Jr, Steven C. Ricke, Phillip R. Myer, Madison T. Henniger, Gustavo A. Ramírez, Brian B. Oakley, Katie Lynn Summers, Asha M. Miles, Taylor B. Ault-Seay, Zhongtang Yu, Jessica L. Metcalf, James E. Wells
Roman L. Hruska U.S. Meat Animal Research Center: Reports
Microbiome studies in animal science using 16S rRNA gene sequencing have become increasingly common in recent years as sequencing costs continue to fall and bioinformatic tools become more powerful and user-friendly. The combination of molecular biology, microbiology, microbial ecology, computer science, and bioinformatics—in addition to the traditional considerations when conducting an animal science study—makes microbiome studies sometimes intimidating due to the intersection of different fields. The objective of this review is to serve as a jumping-off point for those animal scientists less familiar with 16S rRNA gene sequencing and analyses and to bring up common issues and concerns that arise …
The Bioinformatics Virtual Coordination Network: An Open-Source And Interactive Learning Environment, Benjamin J. Tully, Joy Buongiorno, Ashley B. Cohen, Jacob A. Cram, Arkadiy I. Garber, Sarah K. Hu, Arianna I. Krinos, Philip T. Leftwich, Alexis J. Marshall, Ella T. Sieradzki, Daan R. Speth, Elizabeth A. Suter, Christopher B. Trivedi, Luis E. Valentin-Alvarado, Jake L. Weissman, Bvcn Instructor Consortium
The Bioinformatics Virtual Coordination Network: An Open-Source And Interactive Learning Environment, Benjamin J. Tully, Joy Buongiorno, Ashley B. Cohen, Jacob A. Cram, Arkadiy I. Garber, Sarah K. Hu, Arianna I. Krinos, Philip T. Leftwich, Alexis J. Marshall, Ella T. Sieradzki, Daan R. Speth, Elizabeth A. Suter, Christopher B. Trivedi, Luis E. Valentin-Alvarado, Jake L. Weissman, Bvcn Instructor Consortium
Faculty Works: Biology, Chemistry, and Environmental Studies
Lockdowns and “stay-at-home” orders, starting in March 2020, shuttered bench and field dependent research across the world as a consequence of the global COVID-19 pandemic. The pandemic continues to have an impact on research progress and career development, especially for graduate students and early career researchers, as strict social distance limitations stifle ongoing research and impede in-person educational programs. The goal of the Bioinformatics Virtual Coordination Network (BVCN) was to reduce some of these impacts by helping research biologists learn new skills and initiate computational projects as alternative ways to carry out their research. The BVCN was founded in April …
You Are What You Eat — Exploring The Microbiome Through Inquiry-Based Labs. Microbiome Lesson Plans, Karla S. Fuller
You Are What You Eat — Exploring The Microbiome Through Inquiry-Based Labs. Microbiome Lesson Plans, Karla S. Fuller
Open Educational Resources
If these commonly used spices have the ability to inhibit pathogenic bacterial growth, could they also potentially inhibit the growth of normal, harmless bacteria that live in your body? In this lab, we will test common bacteria for resistance to food additives.
Biol 4010w/7190g/Cisc2810w: Macromolecular Structure And Bioinformatics, Shaneen Singh
Biol 4010w/7190g/Cisc2810w: Macromolecular Structure And Bioinformatics, Shaneen Singh
Open Educational Resources
No abstract provided.
A Convergent Functional Genomics Analysis To Identify Biological Regulators Mediating Effects Of Creatine Supplementation, Diego A. Bonilla, Yurany Moreno, Eric S. Rawson, Diego A. Forero, Jeffrey R. Stout, Chad M. Kerksick, Michael D. Roberts, Richard B. Kreider
A Convergent Functional Genomics Analysis To Identify Biological Regulators Mediating Effects Of Creatine Supplementation, Diego A. Bonilla, Yurany Moreno, Eric S. Rawson, Diego A. Forero, Jeffrey R. Stout, Chad M. Kerksick, Michael D. Roberts, Richard B. Kreider
Faculty Scholarship
Creatine (Cr) and phosphocreatine (PCr) are physiologically essential molecules for life, given they serve as rapid and localized support of energy- and mechanical-dependent processes. This evolutionary advantage is based on the action of creatine kinase (CK) isozymes that connect places of ATP synthesis with sites of ATP consumption (the CK/PCr system). Supplementation with creatine monohydrate (CrM) can enhance this system, resulting in well-known ergogenic effects and potential health or therapeutic benefits. In spite of our vast knowledge about these molecules, no integrative analysis of molecular mechanisms under a systems biology approach has been performed to date; thus, we aimed to …
Biomedical Informatics Colloquium, Bio 4050, Course Outline, Eugenia G. Giannopoulou
Biomedical Informatics Colloquium, Bio 4050, Course Outline, Eugenia G. Giannopoulou
Open Educational Resources
A seminar-based course that exposes students to current research topics in the fields of Bioinformatics and Medical Informatics. Weekly presentations by invited speakers and/or faculty introduce students to the broad diversity of research areas in both fields, and engages them in critical thinking and writing. Online lectures and reading activities will be given periodically.
Forward Genomics Of A Complex Trait: Mammalian Basal Metabolic Rate, Caleigh Charlebois
Forward Genomics Of A Complex Trait: Mammalian Basal Metabolic Rate, Caleigh Charlebois
Honors College
The significance and nature of basal metabolic rate, a metabolic parameter recorded under specific laboratory conditions, are contested among biologists. Although it was most likely important in the evolution of endothermy in mammals and is associated with many other traits inter-and intra-specifically, the specifics of its heritability and its genetic determinants are largely unknown. Two bioinformatics pipelines are available which can associate traits with their genetic correlates given only whole genomes and phenotypes for each animal. However, extant pipelines were created with binary traits in mind. This leaves a void in our ability to associate continuous traits such as basal …
Ciliary Extracellular Vesicles Are Distinct From The Cytosolic Extracellular Vesicles, Ashraf M. Mohieldin, Rajasekharreddy Pala, Richard Beuttler, James J. Moresco, John R. Yates Iii, Surya M. Nauli
Ciliary Extracellular Vesicles Are Distinct From The Cytosolic Extracellular Vesicles, Ashraf M. Mohieldin, Rajasekharreddy Pala, Richard Beuttler, James J. Moresco, John R. Yates Iii, Surya M. Nauli
Pharmacy Faculty Articles and Research
Extracellular vesicles (EVs) are cell‐derived membrane vesicles that are released into the extracellular space. EVs encapsulate key proteins and mediate intercellular signalling pathways. Recently, primary cilia have been shown to release EVs under fluid‐shear flow, but many proteins encapsulated in these vesicles have never been identified. Primary cilia are ubiquitous mechanosensory organelles that protrude from the apical surface of almost all human cells. Primary cilia also serve as compartments for signalling pathways, and their defects have been associated with a wide range of human genetic diseases called ciliopathies. To better understand the mechanism of ciliopathies, it is imperative to know …
Omicsvolcano: Software For Intuitive Visualization And Interactive Exploration Of High-Throughput Biological Data, Irina Kuznetsova, Artur Lugmayr, Oliver Rackham, Aleksandra Filipovska
Omicsvolcano: Software For Intuitive Visualization And Interactive Exploration Of High-Throughput Biological Data, Irina Kuznetsova, Artur Lugmayr, Oliver Rackham, Aleksandra Filipovska
Research outputs 2014 to 2021
Advances in omics technologies have generated exponentially larger volumes of biological data; however, their analyses and interpretation are limited to computationally proficient scientists. We created OmicsVolcano, an interactive open-source software tool to enable visualization and exploration of high-throughput biological data, while highlighting features of interest using a volcano plot interface. In contrast to existing tools, our software and user-interface design allow it to be used without requiring any programming skills to generate high-quality and presentation-ready images.
A Novel Approach To Teaching Hidden Markov Models To A Diverse Undergraduate Population, Philip Heller, Pratyusha Pogaru
A Novel Approach To Teaching Hidden Markov Models To A Diverse Undergraduate Population, Philip Heller, Pratyusha Pogaru
Faculty Research, Scholarly, and Creative Activity
Hidden Markov Models (HMMs) are an essential tool for Bioinformatic analysis, with extensive success at finding patterns (e.g. CRISPR arrays or genes of interest) in DNA or protein sequences. HMMs are conceptually intricate, and the algorithms that make use of them are complicated. Thus they present a challenge to Bioinformatics instructors at the undergraduate level, particularly when the students’ educational backgrounds are broadly diverse. At San Jose State University, many undergraduate Bioinformatics students are Biology majors with little or no prior coursework in mathematics, statistics, or programming. For this population a theory-based approach to teaching HMMs would be ineffective. To …
Analysis Of Subtelomeric Rextal Assemblies Using Quast, Tunazzina Islam, Desh Ranjan, Mohammad Zubair, Eleanor Young, Ming Xiao, Harold Riethman
Analysis Of Subtelomeric Rextal Assemblies Using Quast, Tunazzina Islam, Desh Ranjan, Mohammad Zubair, Eleanor Young, Ming Xiao, Harold Riethman
Computer Science Faculty Publications
Genomic regions of high segmental duplication content and/or structural variation have led to gaps and misassemblies in the human reference sequence, and are refractory to assembly from whole-genome short-read datasets. Human subtelomere regions are highly enriched in both segmental duplication content and structural variations, and as a consequence are both impossible to assemble accurately and highly variable from individual to individual. Recently, we developed a pipeline for improved region-specific assembly called Regional Extension of Assemblies Using Linked-Reads (REXTAL). In this study, we evaluate REXTAL and genome-wide assembly (Supernova) approaches on 10X Genomics linked-reads data sets partitioned and barcoded using the …