Comparison of the key characteristics of EpiFusion compared to the tools and literature referred to in this manuscript.
<p>Rasmussen’11 denotes Rasmussen et. al (2011), which was referenced in the introduction. However, the model is not distributed for use as a software or program, so we were unable to assess its computational efficiency (*). (BD–birth death).</p>
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , , , , , , |
| منشور في: |
2024
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
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| _version_ | 1852025270987390976 |
|---|---|
| author | Ciara Judge (20161514) |
| author2 | Timothy Vaughan (5654278) Timothy Russell (20161517) Sam Abbott (9548946) Louis du Plessis (3264087) Tanja Stadler (118822) Oliver Brady (5331668) Sarah Hill (101064) |
| author2_role | author author author author author author author |
| author_facet | Ciara Judge (20161514) Timothy Vaughan (5654278) Timothy Russell (20161517) Sam Abbott (9548946) Louis du Plessis (3264087) Tanja Stadler (118822) Oliver Brady (5331668) Sarah Hill (101064) |
| author_role | author |
| dc.creator.none.fl_str_mv | Ciara Judge (20161514) Timothy Vaughan (5654278) Timothy Russell (20161517) Sam Abbott (9548946) Louis du Plessis (3264087) Tanja Stadler (118822) Oliver Brady (5331668) Sarah Hill (101064) |
| dc.date.none.fl_str_mv | 2024-11-11T18:48:15Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pcbi.1012528.t004 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Comparison_of_the_key_characteristics_of_EpiFusion_compared_to_the_tools_and_literature_referred_to_in_this_manuscript_/27659015 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Genetics Biotechnology Evolutionary Biology Cancer Infectious Diseases Computational Biology Mathematical Sciences not elsewhere classified surveillance rapidly changes scaled trees estimated remain largely distinct poorly sampled epidemics effective reproduction number accommodate future extensions respiratory virus outbreaks approach scales efficiently 2014 ebola outbreak phylodynamic observation models div >< p </ sub >) </ sub simulated outbreaks outbreak dynamics joint approach xlink "> weighted according sierra leone retrospective analysis phylogenetic uncertainty pathogen phylodynamics joint inference integrating phylodynamic infectious disease increases certainty genetic sequences fundamental challenge existing methods demonstrate advances dataset size complementary strengths circulating pathogen case incidence accurately estimating |
| dc.title.none.fl_str_mv | Comparison of the key characteristics of EpiFusion compared to the tools and literature referred to in this manuscript. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Rasmussen’11 denotes Rasmussen et. al (2011), which was referenced in the introduction. However, the model is not distributed for use as a software or program, so we were unable to assess its computational efficiency (*). (BD–birth death).</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_64a7210cc4763a8303bbcfb514b3ffe3 |
| identifier_str_mv | 10.1371/journal.pcbi.1012528.t004 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/27659015 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Comparison of the key characteristics of EpiFusion compared to the tools and literature referred to in this manuscript.Ciara Judge (20161514)Timothy Vaughan (5654278)Timothy Russell (20161517)Sam Abbott (9548946)Louis du Plessis (3264087)Tanja Stadler (118822)Oliver Brady (5331668)Sarah Hill (101064)GeneticsBiotechnologyEvolutionary BiologyCancerInfectious DiseasesComputational BiologyMathematical Sciences not elsewhere classifiedsurveillance rapidly changesscaled trees estimatedremain largely distinctpoorly sampled epidemicseffective reproduction numberaccommodate future extensionsrespiratory virus outbreaksapproach scales efficiently2014 ebola outbreakphylodynamic observation modelsdiv >< p</ sub >)</ subsimulated outbreaksoutbreak dynamicsjoint approachxlink ">weighted accordingsierra leoneretrospective analysisphylogenetic uncertaintypathogen phylodynamicsjoint inferenceintegrating phylodynamicinfectious diseaseincreases certaintygenetic sequencesfundamental challengeexisting methodsdemonstrate advancesdataset sizecomplementary strengthscirculating pathogencase incidenceaccurately estimating<p>Rasmussen’11 denotes Rasmussen et. al (2011), which was referenced in the introduction. However, the model is not distributed for use as a software or program, so we were unable to assess its computational efficiency (*). (BD–birth death).</p>2024-11-11T18:48:15ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pcbi.1012528.t004https://figshare.com/articles/dataset/Comparison_of_the_key_characteristics_of_EpiFusion_compared_to_the_tools_and_literature_referred_to_in_this_manuscript_/27659015CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/276590152024-11-11T18:48:15Z |
| spellingShingle | Comparison of the key characteristics of EpiFusion compared to the tools and literature referred to in this manuscript. Ciara Judge (20161514) Genetics Biotechnology Evolutionary Biology Cancer Infectious Diseases Computational Biology Mathematical Sciences not elsewhere classified surveillance rapidly changes scaled trees estimated remain largely distinct poorly sampled epidemics effective reproduction number accommodate future extensions respiratory virus outbreaks approach scales efficiently 2014 ebola outbreak phylodynamic observation models div >< p </ sub >) </ sub simulated outbreaks outbreak dynamics joint approach xlink "> weighted according sierra leone retrospective analysis phylogenetic uncertainty pathogen phylodynamics joint inference integrating phylodynamic infectious disease increases certainty genetic sequences fundamental challenge existing methods demonstrate advances dataset size complementary strengths circulating pathogen case incidence accurately estimating |
| status_str | publishedVersion |
| title | Comparison of the key characteristics of EpiFusion compared to the tools and literature referred to in this manuscript. |
| title_full | Comparison of the key characteristics of EpiFusion compared to the tools and literature referred to in this manuscript. |
| title_fullStr | Comparison of the key characteristics of EpiFusion compared to the tools and literature referred to in this manuscript. |
| title_full_unstemmed | Comparison of the key characteristics of EpiFusion compared to the tools and literature referred to in this manuscript. |
| title_short | Comparison of the key characteristics of EpiFusion compared to the tools and literature referred to in this manuscript. |
| title_sort | Comparison of the key characteristics of EpiFusion compared to the tools and literature referred to in this manuscript. |
| topic | Genetics Biotechnology Evolutionary Biology Cancer Infectious Diseases Computational Biology Mathematical Sciences not elsewhere classified surveillance rapidly changes scaled trees estimated remain largely distinct poorly sampled epidemics effective reproduction number accommodate future extensions respiratory virus outbreaks approach scales efficiently 2014 ebola outbreak phylodynamic observation models div >< p </ sub >) </ sub simulated outbreaks outbreak dynamics joint approach xlink "> weighted according sierra leone retrospective analysis phylogenetic uncertainty pathogen phylodynamics joint inference integrating phylodynamic infectious disease increases certainty genetic sequences fundamental challenge existing methods demonstrate advances dataset size complementary strengths circulating pathogen case incidence accurately estimating |