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SurvCurv database and online survival analysis platform update

Summary: Understanding the biology of ageing is an important and complex challenge. Survival experiments are one of the primary approaches for measuring changes in ageing. Here, we present a major update to SurvCurv, a database and online resource for survival data in animals. As well as a substanti...

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Autores principales: Ziehm, Matthias, Ivanov, Dobril K., Bhat, Aditi, Partridge, Linda, Thornton, Janet M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4653391/
https://www.ncbi.nlm.nih.gov/pubmed/26249811
http://dx.doi.org/10.1093/bioinformatics/btv463
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author Ziehm, Matthias
Ivanov, Dobril K.
Bhat, Aditi
Partridge, Linda
Thornton, Janet M.
author_facet Ziehm, Matthias
Ivanov, Dobril K.
Bhat, Aditi
Partridge, Linda
Thornton, Janet M.
author_sort Ziehm, Matthias
collection PubMed
description Summary: Understanding the biology of ageing is an important and complex challenge. Survival experiments are one of the primary approaches for measuring changes in ageing. Here, we present a major update to SurvCurv, a database and online resource for survival data in animals. As well as a substantial increase in data and additions to existing graphical and statistical survival analysis features, SurvCurv now includes extended mathematical mortality modelling functions and survival density plots for more advanced representation of groups of survival cohorts. Availability and implementation: The database is freely available at https://www.ebi.ac.uk/thornton-srv/databases/SurvCurv/. All data are published under the Creative Commons Attribution License. Contact: matthias.ziehm@ebi.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-46533912015-11-20 SurvCurv database and online survival analysis platform update Ziehm, Matthias Ivanov, Dobril K. Bhat, Aditi Partridge, Linda Thornton, Janet M. Bioinformatics Applications Notes Summary: Understanding the biology of ageing is an important and complex challenge. Survival experiments are one of the primary approaches for measuring changes in ageing. Here, we present a major update to SurvCurv, a database and online resource for survival data in animals. As well as a substantial increase in data and additions to existing graphical and statistical survival analysis features, SurvCurv now includes extended mathematical mortality modelling functions and survival density plots for more advanced representation of groups of survival cohorts. Availability and implementation: The database is freely available at https://www.ebi.ac.uk/thornton-srv/databases/SurvCurv/. All data are published under the Creative Commons Attribution License. Contact: matthias.ziehm@ebi.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2015-12-01 2015-08-06 /pmc/articles/PMC4653391/ /pubmed/26249811 http://dx.doi.org/10.1093/bioinformatics/btv463 Text en © The Author 2015. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Ziehm, Matthias
Ivanov, Dobril K.
Bhat, Aditi
Partridge, Linda
Thornton, Janet M.
SurvCurv database and online survival analysis platform update
title SurvCurv database and online survival analysis platform update
title_full SurvCurv database and online survival analysis platform update
title_fullStr SurvCurv database and online survival analysis platform update
title_full_unstemmed SurvCurv database and online survival analysis platform update
title_short SurvCurv database and online survival analysis platform update
title_sort survcurv database and online survival analysis platform update
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4653391/
https://www.ncbi.nlm.nih.gov/pubmed/26249811
http://dx.doi.org/10.1093/bioinformatics/btv463
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