Page not found

Functional Genomics of Fusarium graminearum, the Wheat and Barley Scab Fungus

Abstract: 
<h3 class="red">Functional Genomics of <em>Fusarium graminearum,&nbsp;</em>the Wheat and Barley Scab Fungus</h3><p>Fusarium head blight or scab caused by <em>Fusarium graminearum</em> is a destructive disease of wheat and barley. Infested cereals are reduced in yield and contaminated with harmful mycotoxins. In the past decade, the disease has resulted in billions of dollars of economic loss to United States agriculture. Better understanding of <em>F. graminearum</em> pathogenesis and differentiation is critical because effective fungicides and highly resistant plant varieties are not available for controlling the disease. This group&rsquo;s goals are to identify and characterize genes important for plant infection and colonization, secondary metabolism, sporulation, and sexual development of <em>F. graminearum</em> by using transcriptome analysis and targeted mutation of selected genes.</p><p>One objective of this research is to analyze gene expression profiles of <em>F. graminearum</em> in different infection and colonization stages, in mutants defective in plant infection or toxin production, and in different developmental stages. Genes differentially expressed during specific infection or development processes or in response to mutants will be identified by high throughput cDNA sequencing (RNAseq). The second objective is to experimentally determine the biological functions of selected candidate genes identified in gene expression experiments. Targeted deletion mutants will be generated for genes chosen on the basis of expression profiles and bioinformatics analyses. A third objective will be to assess the presence of <em>Fusarium</em> species and total fungal content of environmental samples using a metagenomic approach. MSI resources are used for storage and analysis of RNAseq data as well as DNA sequence storage and metagenomic analysis of fungi from environmental samples.</p><p>Return to this PI&#39;s <a href="https://www.msi.umn.edu/pi/4f540de464620efee82141bff5399ad8/16000">main page</a>.</p><p>&nbsp;</p>
Group name: 
kistlerh

Data Storage Acceptable Use

Data storage is a finite and valuable resource. Storage services provided to MSI users are solely intended to support data and computationally intensive research. Storing personal files that are not related to data-intensive or high-performance computing workflows should not be stored on MSI...

Using Large Scale Text Mining Method to Understand User-Generated Posts on Facebook Business Pages

Abstract: 
<h3 class="red">Using Large Scale Text Mining Method to Understand User-Generated Posts on Facebook Business Pages</h3><p>With the growth and prevalence of social media, many companies have launched business pages on Facebook to engage customers and encourage positive word-of-mouth about their products and services. Meanwhile, there is little research that investigates what users actually post on these pages and how characteristics of this new form of electronic word-of-mouth drive customer engagement. The researchers used Facebook GraphAPI to collect 0.53 million posts from 41 Facebook business pages. To study the contents of these posts, they manually analyzed a sample of 12,000 posts and established seven content categories. They then built large-scale SVM classifiers to predict the content category of unseen posts. To increase the accuracy of prediction, they extracted specialized attributes besides bag-of-words. This classification model achieved over 0.7 f-measures for the majority of categories. This research advances the understanding of consumer-generated word-of-mouth on new social media platforms and testifies the effectiveness of using large-scale text mining methods in IS research.</p><p>Return to this PI&#39;s <a href="https://www.msi.umn.edu/pi/5bb49f5778ad875f6088b9f844af3f39/10156">main page</a>.</p>
Group name: 
renyq

Metabolomics and Stable Isotope Labeling Methodologies for the Study of Chemical Communication in Plants

Abstract: 
<h3 class="red">Metabolics and Stable Isotope Labeling Methodologies for the Study of Chemical Communication in Plants</h3><p>Plants synthesize a wide variety of chemicals called secondary metabolites in response to environmental triggers or to mediate specific behaviors from other organisms. Very little is known about how the synthesis of these metabolites is regulated or how their environmental triggers are sensed. The Hegeman laboratory uses and develops high-throughput mass spectrometry-based analyses to provide broad-based measurements of metabolites. They are also involved in developing new methodologies in metabolomics that utilize whole-organism stable isotopic labeling strategies to improve data quality and information content. These analyses will be used to provide global models of metabolism within a biological system that can provide novel insights into molecular phenomena. The researchers use these metabolomics approaches to understand the regulation of secondary metabolite production in response to environmental cues.&nbsp;</p><p>This PI&rsquo;s research was featured in MSI Research Spotlights in <a href="https://www.msi.umn.edu/content/investigating-medicinal-properties-kava-awa">February 2015</a> and <a href="https://www.msi.umn.edu/content/expanding-galaxy-platform">November 2015</a>.</p><p>Return to this PI&#39;s <a href="https://www.msi.umn.edu/pi/ac891d188e94d15ab3b7922ee8641537/22732">main page</a>.</p>
Group name: 
hegemana

Cosmic Microwave Background Polarization Mission Simulation and Analysis

Abstract: 
<h3 class="red">Cosmic Microwave Background Polarization&nbsp;Mission Simulation and Analysis</h3><p>These researches are continuing to use MSI supercomputing resources to understand the polarization properties of the cosmic microwave background radiation (CMB). The CMB is an electromagnetic radiation that is a relic remnant from the Big Bang that permeates the universe. By learning the properties of the CMB researchers probe the origin and evolution of the universe. Theoretical models of the Big Bang suggest that the polarization properties of the CMB encode information about physical processes that have occurred as short as 10<sup>-30</sup> second after the Big Bang.</p><p>EBEX is a NASA funded balloon-borne experiment that is designed to measure the polarization of the CMB. The Hanany group leads this international collaboration, which includes several more groups in north America and Europe. EBEX had its first science flight Dec 2012 / Jan 2013 circumnavigating Antarctica. They collected nearly 1 TB of raw data. The collaboration is now in the midst of the data analysis process. MSI supercomputing resources will be used to improve the end-to-end analysis pipeline with simulation and apply the pipeline to our actual flight data to produce scientific results.</p><p>This PI&rsquo;s research was featured in an&nbsp;<a href="https://www.msi.umn.edu/content/new-data-storage-option-msi-researchers">MSI Research Spotlight</a> in March 2015.</p><p>Return to this PI&#39;s <a href="https://www.msi.umn.edu/pi/e20aaf91485c4e75eabb994fa3de10ca/35300">main page</a>.</p><p>&nbsp;</p>
Group name: 
hananys

The Role of Genetic Load in Crop Improvement

Abstract: 
<h3 class="red">The Role of Genetic Load in Crop Improvement</h3><p>The overarching goal of this project is to determine how deleterious variants, a ubiquitous feature of the variation in every organism, impact yield and productivity in crop species. In particular, this group is focused on the effects of deleterious variants in inbreeding species, where cultivars are grown as inbred lines and thus deleterious variants are not offset by heterosis in hybrids. Specifically they seek to address three objectives that can be summarized as three issues:</p><ul><li>Determine how the processes of domestication and improvement have impacted the relative proportion of deleterious variants in wild barley, barley landraces, and elite cultivars.</li><li>Determine the extent to which selection for favorable mutations increased the frequency of linked deleterious mutations during domestication and improvement.</li><li>Design genomic selection approaches that test the potential of &quot;reverse genomic selection&quot; based on deleterious mutations to supplement genomic selection based on phenotypic prediction.</li></ul><p>This PI&rsquo;s research was featured in an <a href="https://www.msi.umn.edu/content/new-data-storage-option-msi-researchers">MSI Research Spotlight</a> in March 2015.</p><p>Return to this PI&#39;s <a href="https://www.msi.umn.edu/pi/734e98c2498d1cb23083ef2e993d7192/10133">main page</a>.</p>
Group name: 
morrellp

Metagenomics of Insect Predator Gut Contents

Abstract: 
<h3 class="red">Metagenomics of Insect Predator Gut Contents</h3><p><span style="background-color: rgb(255, 255, 255);">These researchers are performing direct shotgun sequencing of the DNA community (metagenomics) of the gut content of arthropod predators and predict they will reveal prey consumed with higher taxonomic breadth and resolution than previously feasible. They use MSI to store the sequencing data.</span></p><p><span style="background-color: rgb(255, 255, 255);">Return to this PI&#39;s <a href="https://www.msi.umn.edu/pi/1672a880be54dd16d2ff030e438deb8f/10867">main page</a>.</span></p>
Group name: 
andowd

What are the different storage tiers?

Data can migrate between the following Tiers on Stratus: Active Analysis Volume Storage Secure Archive dbGaP Cache (s3cache) Persistent Secure Storage (s3secure) Sanitized Data (i.e., non-protected and non-governed) Tier II (tier2) Archive Tape Storage* (*) Availability TBD

Computational Metagenomics

Abstract: 
<h3 class="red">Computational Metagenomics</h3><p>The Knight computational microbiology lab develops methods that bring precision medicine to the microbiome. They apply those methods to find patterns in microbial communities that predict and diagnose human diseases, and use those patterns to develop novel therapeutics and diagnostics.</p><p>This research was featured in Research Spotlights on the MSI website in <a href="https://www.msi.umn.edu/content/fungal-microbiome-infants">April 2015</a> and <a href="https://www.msi.umn.edu/content/changes-human-gut-microbiome-caused-colorectal-cancer">September 2015</a>.</p><p>Return to this PI&#39;s <a href="https://www.msi.umn.edu/pi/88c3c2a63dcb48a79d43104668547c80/10604">main page</a>.</p>
Group name: 
knightsd

Meeting the University’s Expanding Data-Storage Needs

Research at the University of Minnesota is driving greatly expanded needs for data storage. To meet those needs, the University has created the University Storage Council (USC), composed of representatives from throughout the U, that is charged with making data storage for researchers efficient and...

Pages