LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 31

Search options

  1. Article ; Online: Joint visualization of seasonal influenza serology and phylogeny to inform vaccine composition.

    Lee, Jover / Hadfield, James / Black, Allison / Sibley, Thomas R / Neher, Richard A / Bedford, Trevor / Huddleston, John

    Frontiers in bioinformatics

    2023  Volume 3, Page(s) 1069487

    Abstract: Seasonal influenza vaccines must be updated regularly to account for mutations that allow influenza viruses to escape our existing immunity. A successful vaccine should represent the genetic diversity of recently circulating viruses and induce antibodies ...

    Abstract Seasonal influenza vaccines must be updated regularly to account for mutations that allow influenza viruses to escape our existing immunity. A successful vaccine should represent the genetic diversity of recently circulating viruses and induce antibodies that effectively prevent infection by those recent viruses. Thus, linking the genetic composition of circulating viruses and the serological experimental results measuring antibody efficacy is crucial to the vaccine design decision. Historically, genetic and serological data have been presented separately in the form of static visualizations of phylogenetic trees and tabular serological results to identify vaccine candidates. To simplify this decision-making process, we have created an interactive tool for visualizing serological data that has been integrated into Nextstrain's real-time phylogenetic visualization framework, Auspice. We show how the combined interactive visualizations may be used by decision makers to explore the relationships between complex data sets for both prospective vaccine virus selection and retrospectively exploring the performance of vaccine viruses.
    Language English
    Publishing date 2023-03-22
    Publishing country Switzerland
    Document type Journal Article
    ISSN 2673-7647
    ISSN (online) 2673-7647
    DOI 10.3389/fbinf.2023.1069487
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: Ten recommendations for supporting open pathogen genomic analysis in public health.

    Black, Allison / MacCannell, Duncan R / Sibley, Thomas R / Bedford, Trevor

    Nature medicine

    2020  Volume 26, Issue 6, Page(s) 832–841

    Abstract: Increasingly, public-health agencies are using pathogen genomic sequence data to support surveillance and epidemiological investigations. As access to whole-genome sequencing has grown, greater amounts of molecular data have helped improve the ability to ...

    Abstract Increasingly, public-health agencies are using pathogen genomic sequence data to support surveillance and epidemiological investigations. As access to whole-genome sequencing has grown, greater amounts of molecular data have helped improve the ability to detect and track outbreaks of diseases such as COVID-19, investigate transmission chains and explore large-scale population dynamics, such as the spread of antibiotic resistance. However, the wide adoption of whole-genome sequencing also poses new challenges for public-health agencies that must adapt to support a new set of expertise, which means that the capacity to perform genomic data assembly and analysis has not expanded as widely as the adoption of sequencing itself. In this Perspective, we make recommendations for developing an accessible, unified informatic ecosystem to support pathogen genomic analysis in public-health agencies across income settings. We hope that the creation of this ecosystem will allow agencies to effectively and efficiently share data, workflows and analyses and thereby increase the reproducibility, accessibility and auditability of pathogen genomic analysis while also supporting agency autonomy.
    MeSH term(s) Betacoronavirus/genetics ; Betacoronavirus/pathogenicity ; COVID-19 ; Coronavirus Infections/epidemiology ; Coronavirus Infections/genetics ; Coronavirus Infections/transmission ; Coronavirus Infections/virology ; Disease Outbreaks ; Drug Resistance, Microbial/genetics ; Genomics ; Humans ; Pandemics ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/genetics ; Pneumonia, Viral/transmission ; Pneumonia, Viral/virology ; Population Dynamics ; SARS-CoV-2 ; Whole Genome Sequencing
    Keywords covid19
    Language English
    Publishing date 2020-06-11
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S. ; Review
    ZDB-ID 1220066-9
    ISSN 1546-170X ; 1078-8956
    ISSN (online) 1546-170X
    ISSN 1078-8956
    DOI 10.1038/s41591-020-0935-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article ; Online: ISDB: a database toolkit for storing and analyzing viral integration site data.

    Sibley, Thomas R / Silberman, Evan J / Mullins, James I

    Bioinformatics (Oxford, England)

    2018  Volume 35, Issue 6, Page(s) 1073–1075

    Abstract: Summary: We introduce ISDB, a set of software tools for the creation and administration of relational databases of viral integration site (IS) data. Using ISDB, investigators can curate a private database from any heterogeneous set of data sources, ... ...

    Abstract Summary: We introduce ISDB, a set of software tools for the creation and administration of relational databases of viral integration site (IS) data. Using ISDB, investigators can curate a private database from any heterogeneous set of data sources, including previously-published datasets and internal, work-in-progress data. To make data visible and accessible to collaborators with varying degrees of computational expertise, ISDB automatically generates web sites describing database contents and data exports in several common formats. Compared to a public depository database, the ability to build local, private databases makes ISDB suitable for use in testing hypotheses and developing analyses in the long pre-publication phase of most research.
    Availability and implementation: Installation and usage documentation for ISDB are provided on our website https://mullinslab.microbiol.washington.edu/isdb/. Source code is available under the open source MIT license from https://github.com/MullinsLab/ISDB.
    Supplementary information: Supplementary data are available at Bioinformatics online.
    MeSH term(s) Databases, Factual ; Genome ; Software ; Virus Integration
    Language English
    Publishing date 2018-08-13
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 1422668-6
    ISSN 1367-4811 ; 1367-4803
    ISSN (online) 1367-4811
    ISSN 1367-4803
    DOI 10.1093/bioinformatics/bty712
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article ; Online: ISDB: a database toolkit for storing and analyzing viral integration site data

    Sibley, Thomas R. / Silberman, Evan J. / Mullins, James I.

    Bioinformatics. 2019 Mar. 15, v. 35, no. 6, p. 1073-1075

    2019  , Page(s) 1073–1075

    Abstract: We introduce ISDB, a set of software tools for the creation and administration of relational databases of viral integration site (IS) data. Using ISDB, investigators can curate a private database from any heterogeneous set of data sources, including ... ...

    Abstract We introduce ISDB, a set of software tools for the creation and administration of relational databases of viral integration site (IS) data. Using ISDB, investigators can curate a private database from any heterogeneous set of data sources, including previously-published datasets and internal, work-in-progress data. To make data visible and accessible to collaborators with varying degrees of computational expertise, ISDB automatically generates web sites describing database contents and data exports in several common formats. Compared to a public depository database, the ability to build local, private databases makes ISDB suitable for use in testing hypotheses and developing analyses in the long pre-publication phase of most research. Installation and usage documentation for ISDB are provided on our website https://mullinslab.microbiol.washington.edu/isdb/. Source code is available under the open source MIT license from https://github.com/MullinsLab/ISDB. Supplementary data are available at Bioinformatics online.
    Keywords Internet ; bioinformatics ; computer software ; data collection ; databases
    Language English
    Dates of publication 2019-0315
    Size p. 1073-1075
    Publishing place Oxford University Press
    Document type Article ; Online
    Note NAL-AP-2-clean ; Use and reproduction
    ZDB-ID 1468345-3
    ISSN 1367-4811 ; 1460-2059
    ISSN 1367-4811 ; 1460-2059
    DOI 10.1093/bioinformatics/bty712
    Database NAL-Catalogue (AGRICOLA)

    More links

    Kategorien

  5. Article: Ten recommendations for supporting open pathogen genomic analysis in public health

    Black, Allison / MacCannell, Duncan R / Sibley, Thomas R / Bedford, Trevor

    Nat Med

    Abstract: Increasingly, public-health agencies are using pathogen genomic sequence data to support surveillance and epidemiological investigations. As access to whole-genome sequencing has grown, greater amounts of molecular data have helped improve the ability to ...

    Abstract Increasingly, public-health agencies are using pathogen genomic sequence data to support surveillance and epidemiological investigations. As access to whole-genome sequencing has grown, greater amounts of molecular data have helped improve the ability to detect and track outbreaks of diseases such as COVID-19, investigate transmission chains and explore large-scale population dynamics, such as the spread of antibiotic resistance. However, the wide adoption of whole-genome sequencing also poses new challenges for public-health agencies that must adapt to support a new set of expertise, which means that the capacity to perform genomic data assembly and analysis has not expanded as widely as the adoption of sequencing itself. In this Perspective, we make recommendations for developing an accessible, unified informatic ecosystem to support pathogen genomic analysis in public-health agencies across income settings. We hope that the creation of this ecosystem will allow agencies to effectively and efficiently share data, workflows and analyses and thereby increase the reproducibility, accessibility and auditability of pathogen genomic analysis while also supporting agency autonomy.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #594839
    Database COVID19

    Kategorien

  6. Article: Streptococcus pneumoniae

    Bennett, Julia C / Emanuels, Anne / Heimonen, Jessica / O'Hanlon, Jessica / Hughes, James P / Han, Peter D / Chow, Eric J / Ogokeh, Constance E / Rolfes, Melissa A / Lockwood, Christine M / Pfau, Brian / Uyeki, Timothy M / Shendure, Jay / Hoag, Samara / Fay, Kairsten / Lee, Jover / Sibley, Thomas R / Rogers, Julia H / Starita, Lea M /
    Englund, Janet A / Chu, Helen Y

    Frontiers in pediatrics

    2023  Volume 11, Page(s) 1198278

    Abstract: Background: Respiratory viruses might influence : Methods: From November 2019-June 2021, we enrolled participants in a remote household surveillance study of respiratory pathogens. Participants submitted weekly reports of acute respiratory illness ( ... ...

    Abstract Background: Respiratory viruses might influence
    Methods: From November 2019-June 2021, we enrolled participants in a remote household surveillance study of respiratory pathogens. Participants submitted weekly reports of acute respiratory illness (ARI) symptoms. Mid-turbinate or anterior nasal swabs were self-collected at enrollment, when ARI occurred, and, in the second year of the study only, from household contacts after SARS-CoV-2 was detected in a household member. Specimens were tested using multiplex reverse-transcription PCR for respiratory pathogens, including
    Results: We collected 346 swabs from 239 individuals in 151 households that tested positive for
    Conclusion: Detection of common respiratory viruses was associated with greater concurrent
    Language English
    Publishing date 2023-07-07
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2711999-3
    ISSN 2296-2360
    ISSN 2296-2360
    DOI 10.3389/fped.2023.1198278
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article: Augur: a bioinformatics toolkit for phylogenetic analyses of human pathogens.

    Huddleston, John / Hadfield, James / Sibley, Thomas R / Lee, Jover / Fay, Kairsten / Ilcisin, Misja / Harkins, Elias / Bedford, Trevor / Neher, Richard A / Hodcroft, Emma B

    Journal of open source software

    2021  Volume 6, Issue 57

    Abstract: The analysis of human pathogens requires a diverse collection of bioinformatics tools. These tools include standard genomic and phylogenetic software and custom software developed to handle the relatively numerous and short genomes of viruses and ... ...

    Abstract The analysis of human pathogens requires a diverse collection of bioinformatics tools. These tools include standard genomic and phylogenetic software and custom software developed to handle the relatively numerous and short genomes of viruses and bacteria. Researchers increasingly depend on the outputs of these tools to infer transmission dynamics of human diseases and make actionable recommendations to public health officials (Black et al., 2020; Gardy et al., 2015). In order to enable real-time analyses of pathogen evolution, bioinformatics tools must scale rapidly with the number of samples and be flexible enough to adapt to a variety of questions and organisms. To meet these needs, we developed Augur, a bioinformatics toolkit designed for phylogenetic analyses of human pathogens.
    Language English
    Publishing date 2021-01-07
    Publishing country United States
    Document type Journal Article
    ISSN 2475-9066
    ISSN 2475-9066
    DOI 10.21105/joss.02906
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article ; Online: Effects of weather-related social distancing on city-scale transmission of respiratory viruses: a retrospective cohort study.

    Jackson, Michael L / Hart, Gregory R / McCulloch, Denise J / Adler, Amanda / Brandstetter, Elisabeth / Fay, Kairsten / Han, Peter / Lacombe, Kirsten / Lee, Jover / Sibley, Thomas R / Nickerson, Deborah A / Rieder, Mark J / Starita, Lea / Englund, Janet A / Bedford, Trevor / Chu, Helen / Famulare, Michael

    BMC infectious diseases

    2021  Volume 21, Issue 1, Page(s) 335

    Abstract: Background: Unusually high snowfall in western Washington State in February 2019 led to widespread school and workplace closures. We assessed the impact of social distancing caused by this extreme weather event on the transmission of respiratory viruses. ...

    Abstract Background: Unusually high snowfall in western Washington State in February 2019 led to widespread school and workplace closures. We assessed the impact of social distancing caused by this extreme weather event on the transmission of respiratory viruses.
    Methods: Residual specimens from patients evaluated for acute respiratory illness at hospitals in the Seattle metropolitan area were screened for a panel of respiratory viruses. Transmission models were fit to each virus to estimate the magnitude reduction in transmission due to weather-related disruptions. Changes in contact rates and care-seeking were informed by data on local traffic volumes and hospital visits.
    Results: Disruption in contact patterns reduced effective contact rates during the intervention period by 16 to 95%, and cumulative disease incidence through the remainder of the season by 3 to 9%. Incidence reductions were greatest for viruses that were peaking when the disruption occurred and least for viruses in an early epidemic phase.
    Conclusion: High-intensity, short-duration social distancing measures may substantially reduce total incidence in a respiratory virus epidemic if implemented near the epidemic peak. For SARS-CoV-2, this suggests that, even when SARS-CoV-2 spread is out of control, implementing short-term disruptions can prevent COVID-19 deaths.
    MeSH term(s) COVID-19 ; Cities ; Epidemics/prevention & control ; Humans ; Incidence ; Models, Theoretical ; Physical Distancing ; Respiratory Tract Infections/transmission ; Respiratory Tract Infections/virology ; Retrospective Studies ; Washington ; Weather
    Language English
    Publishing date 2021-04-09
    Publishing country England
    Document type Journal Article
    ISSN 1471-2334
    ISSN (online) 1471-2334
    DOI 10.1186/s12879-021-06028-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article ; Online: Minority and majority pretreatment HIV-1 drug resistance associated with failure of first-line nonnucleoside reverse-transcriptase inhibitor antiretroviral therapy in Kenyan women.

    Milne, Ross S / Silverman, Rachel A / Beck, Ingrid A / Mckernan-Mullin, Jennifer / Deng, Wenjie / Sibley, Thomas R / Dross, Sandra / Kiarie, James N / Sakr, Samah R / Coombs, Robert W / Chung, Michael H / Frenkel, Lisa M

    AIDS (London, England)

    2019  Volume 33, Issue 6, Page(s) 941–951

    Abstract: Objectives: Among women initiating first-line nonnucleoside reverse-transcriptase inhibitor (NNRTI)-based-ART with and without a history of single-dose nevirapine (sdNVP) with or without zidovudine with or without lamivudine (ZDV with and without 3TC) ... ...

    Abstract Objectives: Among women initiating first-line nonnucleoside reverse-transcriptase inhibitor (NNRTI)-based-ART with and without a history of single-dose nevirapine (sdNVP) with or without zidovudine with or without lamivudine (ZDV with and without 3TC) for prevention of mother-to-child HIV transmission (PMTCT), we hypothesized that pre-ART HIV-drug resistance would be associated with virologic failure DESIGN/METHODS:: In a prospectively enrolled study, three genotypic drug-resistance assays [oligonucleotide-ligation-assay (OLA), consensus sequencing, and next-generation sequencing by Illumina] were retrospectively performed to detect pre-ART drug resistance. Minority or majority drug-resistant variants identified in pre-ART RNA and/or DNA, a history of antiretrovirals for PMTCT, and other risk factors were assessed for association with virologic failure.
    Results: Failure occurred in 38/169 (22.5%) women, and was associated with pre-ART drug resistance detected by any assay (OLA of plasma or PBMC, consensus sequencing of PBMC and/or plasma, and next-generation sequencing of PBMC at frequencies of at least 10% and as minority variants; all P < 0.0001). Failure was also associated with PMTCT using sdNVP and ZDV with or without 3TC, but not sdNVP only; however, the longer time-interval between PMTCT and ART initiation observed for sdNVP-only women showed no interaction with failure. Viral loads and OLA of PBMC in longitudinal specimens demonstrated rapid failure and emergence of drug resistance, particularly among sdNVP and ZDV with or without 3TC-experienced women with pre-ART drug-resistant minority variants by next-generation sequencing but without drug resistance by OLA or consensus sequencing.
    Conclusion: Pre-ART drug resistance was detected similarly by OLA of PBMC or plasma and by consensus sequencing, and was associated with virologic failure soon after initiation of first-line NVP-based ART. A history of sdNVP and ZDV with or without 3TC for PMTCT or minority variants detected by next-generation sequencing identified additional women with failure. These findings emphasize the value of assessing individual antiretroviral history, particularly nonsuppressive antiretrovirals with at least two drug classes, and testing for pre-ART drug resistance, including minority variants.
    MeSH term(s) Adolescent ; Adult ; Anti-Retroviral Agents/pharmacology ; Drug Resistance, Viral ; Female ; Genotype ; Genotyping Techniques ; HIV Infections/drug therapy ; HIV Infections/virology ; HIV-1/drug effects ; HIV-1/genetics ; HIV-1/isolation & purification ; Humans ; Kenya ; Mutation ; Retrospective Studies ; Young Adult
    Chemical Substances Anti-Retroviral Agents
    Language English
    Publishing date 2019-04-04
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, U.S. Gov't, Non-P.H.S. ; Research Support, U.S. Gov't, P.H.S.
    ZDB-ID 639076-6
    ISSN 1473-5571 ; 0269-9370 ; 1350-2840
    ISSN (online) 1473-5571
    ISSN 0269-9370 ; 1350-2840
    DOI 10.1097/QAD.0000000000002134
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article: Interactions among 17 respiratory pathogens: a cross-sectional study using clinical and community surveillance data.

    Burstein, Roy / Althouse, Benjamin M / Adler, Amanda / Akullian, Adam / Brandstetter, Elizabeth / Cho, Shari / Emanuels, Anne / Fay, Kairsten / Gamboa, Luis / Han, Peter / Huden, Kristen / Ilcisin, Misja / Izzo, Mandy / Jackson, Michael L / Kim, Ashley E / Kimball, Louise / Lacombe, Kirsten / Lee, Jover / Logue, Jennifer K /
    Rogers, Julia / Chung, Erin / Sibley, Thomas R / Van Raay, Katrina / Wenger, Edward / Wolf, Caitlin R / Boeckh, Michael / Chu, Helen / Duchin, Jeff / Rieder, Mark / Shendure, Jay / Starita, Lea M / Viboud, Cecile / Bedford, Trevor / Englund, Janet A / Famulare, Michael

    medRxiv : the preprint server for health sciences

    2022  

    Abstract: Background: Co-circulating respiratory pathogens can interfere with or promote each other, leading to important effects on disease epidemiology. Estimating the magnitude of pathogen-pathogen interactions from clinical specimens is challenging because ... ...

    Abstract Background: Co-circulating respiratory pathogens can interfere with or promote each other, leading to important effects on disease epidemiology. Estimating the magnitude of pathogen-pathogen interactions from clinical specimens is challenging because sampling from symptomatic individuals can create biased estimates.
    Methods: We conducted an observational, cross-sectional study using samples collected by the Seattle Flu Study between 11 November 2018 and 20 August 2021. Samples that tested positive via RT-qPCR for at least one of 17 potential respiratory pathogens were included in this study. Semi-quantitative cycle threshold (Ct) values were used to measure pathogen load. Differences in pathogen load between monoinfected and coinfected samples were assessed using linear regression adjusting for age, season, and recruitment channel.
    Results: 21,686 samples were positive for at least one potential pathogen. Most prevalent were rhinovirus (33·5%),
    Conclusions: Viral load data can be used to overcome sampling bias in studies of pathogen-pathogen interactions. When applied to respiratory pathogens, we found evidence of viral-
    Language English
    Publishing date 2022-02-06
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2022.02.04.22270474
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top