You limited your search to:
Partner:
UNT College of Arts and Sciences
Department:
Computer Science and Engineering
Collection:
UNT Scholarly Works
Characteristic Male Urine Microbiomes Associate with Asymptomatic Sexually Transmitted Infection
Date: November 2010
Creator: Nelson, David E.; Van Der Pol, Barbara; Dong, Qunfeng; Revanna, Kashi V.; Fan, Baochang; Easwaran, Shraddha et al
Description: This article discusses characteristic male urine microbiomes. Abstract: Background: The microbiome of the male urogenital tract is poorly described but it has been suggested that bacterial colonization of the male urethra might impact risk of sexually transmitted infection (STI). Previous cultivation-dependent studies showed that a variety of non-pathogenic bacteria colonize the urethra but did not thoroughly characterize these microbiomes or establish links between the compositions of urethral microbiomes and STI. Methodology/Findings: Here, the authors used 165 rRNA PCR and sequencing to identify bacteria in urine specimens collected from men who lacked symptoms of urethral inflammation but who differed in status for STI. All of the urine samples contained multiple bacteria genera and many contained taxa that colonize the human vagina. Uncultivated bacteria associated with female genital tract pathology were abundant in specimens from men who had STI. Conclusions: Urine microbiomes from men with STI were dominated by fastidious, anaerobic and uncultivated bacteria. The same taxa were rare in STI negative individuals. The authors' findings suggest that the composition of male urine microbiomes is related to STI.
Contributing Partner: UNT College of Arts and Sciences
Permallink:digital.library.unt.edu/ark:/67531/metadc78333/
Mapping Texts: Combining Text-Mining and Geo-Visualization To Unlock The Research Potential of Historical Newspapers
Date: 2011
Creator: Torget, Andrew J., 1978-; Mihalcea, Rada, 1974-; Christensen, Jon & McGhee, Geoff
Description: This paper discusses a grant project to develop a series of experimental models for combining possibilities of text-mining with geospatial mapping in order to unlock the research potential of large-scale collections of historical newspapers. This paper documents the experiments and their outcomes, as well as the authors' recommendations for future work.
Contributing Partner: UNT College of Arts and Sciences
Permallink:digital.library.unt.edu/ark:/67531/metadc83797/
The Microbial Communities in Male First Catch Urine Are Highly Similar to Those in Paired Urethral Swab Specimens
Date: May 13, 2011
Creator: Dong, Qunfeng; Nelson, David E.; Toh, Evelyn; Diao, Lixia; Gao, Xiang; Fortenberry, J. Dennis et al
Description: This article discusses microbial communities. Urine is the CDC-recommended specimen for STI testing. It was unknown if the bacterial communities (microbiomes) in urine reflected those in the distal male urethra. The authors compared microbiomes of 32 paired urine and urethral swab specimens obtained from adult men attending an STD clinic, by 16S rRNA PCR and deep pyrosequencing. Microbiomes of urine and swabs were remarkably similar, regardless of STI status of the subjects. Thus, urine can be used to characterize urethral microbiomes when swabs are undesirable, such as in population-based studies of the urethral microbiome or where multiple sampling of participants is required.
Contributing Partner: UNT College of Arts and Sciences
Permallink:digital.library.unt.edu/ark:/67531/metadc78335/
Topic Modeling on Historical Newspapers
Date: June 2011
Creator: Yang, Tze-I; Torget, Andrew J. & Mihalcea, Rada
Description: In this paper, the authors explore the task of automatic text processing applied to collections of historical newspapers, with the aim of assisting historical research. In particular, in this first stage of the project, the authors experiment with the use of topical models as a means to identify potential issues of interest for historians.
Contributing Partner: UNT College of Arts and Sciences
Permallink:digital.library.unt.edu/ark:/67531/metadc83799/
A web-based multi-genome synteny viewer for customized data
Date: August 2, 2012
Creator: Revanna, V. Kashi; Munro, Daniel; Gao, Alvin; Chiu, Chi-Chen; Pathak, Anil & Dong, Qunfeng
Description: This article discusses a web-based multi-genome synteny viewer for customized data. Background: Web-based synteny visualization tools are important for sharing data and revealing patterns of complicated genome conservation and rearrangements. Such tools should allow biologists to upload genomic data for their own analysis. This requirement is critical because individual biologists are generating large amounts of genomic sequences that quickly overwhelm any centralized web resources to collect and display all those data. Recently, the authors published a web-based synteny viewer, GSV, which was designed to satisfy the above requirement. However, GSV can only compare two genomes at a given time. Extending the functionality of GSV to visualize multiple genomes is important to meet the increasing demand of the research community. Results: The authors have developed a multi-Genome Synteny Viewer (mGSV). Similar to GSV, mGSV is a web-based tool that allows users to upload their own genomic data files for visualization. Multiple genomes can be presented in a single integrated view with an enhanced user interface. Users can navigate through all selected genomes in either pairwise or multiple viewing mode to examine conserved genomic regions as well as the accompanying genome annotations. Besides serving users who manually interact with the web server, ...
Contributing Partner: UNT College of Arts and Sciences
Permallink:digital.library.unt.edu/ark:/67531/metadc122141/