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  • English  (189)
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  • 1
    Language: English
    In: Journal of Bacteriology, pp. 6618-6619
    Description: Article discussing the draft genome sequence of the cyanide-utilizing bacterium 'Pseudomonas fluorescens' strain NCIMB 11764.
    Keywords: Pseudomanas Fluorescens ; Genetics ; Cyanide
    ISSN: 00219193
    E-ISSN: 10985530
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  • 2
    Language: English
    In: Plant physiology, May 2012, Vol.159(1), pp.299-310
    Description: Symbiotic nitrogen fixation occurs in nodules, specialized organs on the roots of legumes. Within nodules, host plant cells are infected with rhizobia that are encapsulated by a plant-derived membrane forming a novel organelle, the symbiosome. In Medicago truncatula, the symbiosome consists of the symbiosome membrane, a single rhizobium, and the soluble space between them, called the symbiosome space. The symbiosome space is enriched with plant-derived proteins, including the M. truncatula EARLY NODULIN8 (MtENOD8) protein. Here, we present evidence from green fluorescent protein (GFP) fusion experiments that the MtENOD8 protein contains at least three symbiosome targeting domains, including its N-terminal signal peptide (SP). When ectopically expressed in nonnodulated root tissue, the MtENOD8 SP delivers GFP to the vacuole. During the course of nodulation, there is a nodule-specific redirection of MtENOD8-SP-GFP from the vacuole to punctate intermediates and subsequently to symbiosomes, with redirection of MtENOD8-SP-GFP from the vacuole to punctate intermediates preceding intracellular rhizobial infection. Experiments with M. truncatula mutants having defects in rhizobial infection and symbiosome development demonstrated that the MtNIP/LATD gene is required for redirection of the MtENOD8-SP-GFP from the vacuoles to punctate intermediates in nodules. Our evidence shows that MtENOD8 has evolved redundant targeting sequences for symbiosome targeting and that intracellular localization of ectopically expressed MtENOD8-SP-GFP is useful as a marker for monitoring the extent of development in mutant nodules.
    Keywords: Protein Sorting Signals ; Medicago Truncatula -- Chemistry ; Plant Proteins -- Chemistry ; Vacuoles -- Chemistry
    ISSN: 00320889
    E-ISSN: 1532-2548
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  • 3
    Language: English
    In: PLoS One, CA: Public Library of Science
    Description: This article explores the interrelationship between the urinary microbiota and host antimicrobial peptides as mechanisms for urinary tract infection risk.
    Keywords: Resident Bacterial Communities ; Host Antimicrobial Peptides ; Urinary Tract Infection
    ISSN: 19326203
    E-ISSN: 19326203
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  • 4
    Language: English
    In: PLoS One, San Francisco: Public Library of Science
    Description: Article discussing the microbial communities in male first catch urine and how these are highly similar to those paired in urethral swab specimens.
    Keywords: Microbials ; Bacteria ; Urine
    ISSN: 19326203
    E-ISSN: 19326203
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  • 5
    In: PLoS ONE, 2018, Vol.13(7)
    Description: Objective To predict hospital admission at the time of ED triage using patient history in addition to information collected at triage. Methods This retrospective study included all adult ED visits between March 2014 and July 2017 from one academic and two community emergency rooms that resulted in either admission or discharge. A total of 972 variables were extracted per patient visit. Samples were randomly partitioned into training (80%), validation (10%), and test (10%) sets. We trained a series of nine binary classifiers using logistic regression (LR), gradient boosting (XGBoost), and deep neural networks (DNN) on three dataset types: one using only triage information, one using only patient history, and one using the full set of variables. Next, we tested the potential benefit of additional training samples by training models on increasing fractions of our data. Lastly, variables of importance were identified using information gain as a metric to create a low-dimensional model. Results A total of 560,486 patient visits were included in the study, with an overall admission risk of 29.7%. Models trained on triage information yielded a test AUC of 0.87 for LR (95% CI 0.86–0.87), 0.87 for XGBoost (95% CI 0.87–0.88) and 0.87 for DNN (95% CI 0.87–0.88). Models trained on patient history yielded an AUC of 0.86 for LR (95% CI 0.86–0.87), 0.87 for XGBoost (95% CI 0.87–0.87) and 0.87 for DNN (95% CI 0.87–0.88). Models trained on the full set of variables yielded an AUC of 0.91 for LR (95% CI 0.91–0.91), 0.92 for XGBoost (95% CI 0.92–0.93) and 0.92 for DNN (95% CI 0.92–0.92). All algorithms reached maximum performance at 50% of the training set or less. A low-dimensional XGBoost model built on ESI level, outpatient medication counts, demographics, and hospital usage statistics yielded an AUC of 0.91 (95% CI 0.91–0.91). Conclusion Machine learning can robustly predict hospital admission using triage information and patient history. The addition of historical information improves predictive performance significantly compared to using triage information alone, highlighting the need to incorporate these variables into prediction models.
    Keywords: Research Article ; Medicine And Health Sciences ; Medicine And Health Sciences ; Research And Analysis Methods ; Physical Sciences ; Medicine And Health Sciences ; Computer And Information Sciences ; Biology And Life Sciences ; Physical Sciences ; Research And Analysis Methods ; Medicine And Health Sciences ; Medicine And Health Sciences
    E-ISSN: 1932-6203
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  • 6
    Language: English
    In: PLoS One, San Francisco: Public Library of Science
    Description: Article discussing the bacterial composition of subgingival plaque among diabetic and non-diabetic subjects to determine the effect that diabetes mellitus has on dental health.
    Keywords: Periodontiitis ; Bacteria ; Diabetes ; Pyrosequencing
    ISSN: 19326203
    E-ISSN: 19326203
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  • 7
    Language: English
    In: BMC Bioinformatics, August 2, 2011, Vol.12, p.316
    Description: Background The analysis of genome synteny is a common practice in comparative genomics. With the advent of DNA sequencing technologies, individual biologists can rapidly produce their genomic sequences of interest. Although web-based synteny visualization tools are convenient for biologists to use, none of the existing ones allow biologists to upload their own data for analysis. Results We have developed the web-based Genome Synteny Viewer (GSV) that allows users to upload two data files for synteny visualization, the mandatory synteny file for specifying genomic positions of conserved regions and the optional genome annotation file. GSV presents two selected genomes in a single integrated view while still retaining the browsing flexibility necessary for exploring individual genomes. Users can browse and filter for genomic regions of interest, change the color or shape of each annotation track as well as re-order, hide or show the tracks dynamically. Additional features include downloadable images, immediate email notification and tracking of usage history. The entire GSV package is also light-weighted which enables easy local installation. Conclusions GSV provides a unique option for biologists to analyze genome synteny by uploading their own data set to a web-based comparative genome browser. A web server hosting GSV is provided at http://cas-bioinfo.cas.unt.edu/gsv, and the software is also freely available for local installations.
    Keywords: Applications Software -- Usage ; Computational Biology -- Usage ; Gene Expression -- Research ; Dna Sequencing -- Usage
    ISSN: 1471-2105
    Source: Cengage Learning, Inc.
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  • 8
    Language: English
    In: BMC Bioinformatics, August 2, 2011, Vol.12, p.316
    Description: Background The analysis of genome synteny is a common practice in comparative genomics. With the advent of DNA sequencing technologies, individual biologists can rapidly produce their genomic sequences of interest. Although web-based synteny visualization tools are convenient for biologists to use, none of the existing ones allow biologists to upload their own data for analysis. Results We have developed the web-based Genome Synteny Viewer (GSV) that allows users to upload two data files for synteny visualization, the mandatory synteny file for specifying genomic positions of conserved regions and the optional genome annotation file. GSV presents two selected genomes in a single integrated view while still retaining the browsing flexibility necessary for exploring individual genomes. Users can browse and filter for genomic regions of interest, change the color or shape of each annotation track as well as re-order, hide or show the tracks dynamically. Additional features include downloadable images, immediate email notification and tracking of usage history. The entire GSV package is also light-weighted which enables easy local installation. Conclusions GSV provides a unique option for biologists to analyze genome synteny by uploading their own data set to a web-based comparative genome browser. A web server hosting GSV is provided at http://cas-bioinfo.cas.unt.edu/gsv, and the software is also freely available for local installations.
    Keywords: Applications Software -- Usage ; Computational Biology -- Usage ; Gene Expression -- Research ; Dna Sequencing -- Usage
    ISSN: 1471-2105
    Source: Cengage Learning, Inc.
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  • 9
    Language: English
    In: Oecologia, August 2017, Vol.184(4), pp.859-871
    Description: Elucidating the factors determining reproductive success has challenged scientists since Darwin, but the exact pathways that shape the evolution of life history traits by connecting extrinsic (e.g., landscape structure) and intrinsic (e.g., female's age and endosymbionts) factors and reproductive success have rarely been studied. Here we collected female fleas from wild rodents in plots differing in their densities and proportions of the most dominant rodent species. We then combined path analysis and model selection approaches to explore the network of effects, ranging from micro to macroscales, determining the reproductive success of these fleas. Our results suggest that female reproductive success is directly and positively associated with their infection by Mycoplasma bacteria and their own body mass, and with the rodent species size and total density. In addition, we found evidence for indirect effects of rodent sex and rodent community diversity on female reproductive success. These results highlight the importance of exploring interrelated factors across organization scales while studying the reproductive success of wild organisms, and they have implications for the control of vector-borne diseases.
    Keywords: Fitness ; Life History ; Model Selection ; Parasites ; Path Analysis ; Scales ; Arthropod Vectors ; Flea Infestations ; Reproduction
    ISSN: 00298549
    E-ISSN: 1432-1939
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  • 10
    Language: English
    In: PLoS One, San Francisco: Public Library of Science
    Description: Article discussing a study that was conducted to understand the basis of a bacterial infection that is common among dairy cows.
    Keywords: Dairy ; Cows ; Pyrosequencing ; Amplicons ; Bacteria ; Microbiology
    ISSN: 19326203
    E-ISSN: 19326203
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