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The SYSCILIA gold standard (SCGSv1) of known ciliary components and its applications within a systems biology consortium

The multinational SYSCILIA consortium aims to gain a mechanistic understanding of the cilium. We utilize multiple parallel high-throughput (HTP) initiatives to develop predictive models of relationships between complex genotypes and variable phenotypes of ciliopathies. The models generated are only...

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Detalles Bibliográficos
Autores principales: van Dam, Teunis JP, Wheway, Gabrielle, Slaats, Gisela G, Huynen, Martijn A, Giles, Rachel H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3674929/
https://www.ncbi.nlm.nih.gov/pubmed/23725226
http://dx.doi.org/10.1186/2046-2530-2-7
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author van Dam, Teunis JP
Wheway, Gabrielle
Slaats, Gisela G
Huynen, Martijn A
Giles, Rachel H
author_facet van Dam, Teunis JP
Wheway, Gabrielle
Slaats, Gisela G
Huynen, Martijn A
Giles, Rachel H
author_sort van Dam, Teunis JP
collection PubMed
description The multinational SYSCILIA consortium aims to gain a mechanistic understanding of the cilium. We utilize multiple parallel high-throughput (HTP) initiatives to develop predictive models of relationships between complex genotypes and variable phenotypes of ciliopathies. The models generated are only as good as the wet laboratory data fed into them. It is therefore essential to orchestrate a well-annotated and high-confidence dataset to be able to assess the quality of any HTP dataset. Here, we present the inaugural SYSCILIA gold standard of known ciliary components as a public resource.
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spelling pubmed-36749292013-06-10 The SYSCILIA gold standard (SCGSv1) of known ciliary components and its applications within a systems biology consortium van Dam, Teunis JP Wheway, Gabrielle Slaats, Gisela G Huynen, Martijn A Giles, Rachel H Cilia Review The multinational SYSCILIA consortium aims to gain a mechanistic understanding of the cilium. We utilize multiple parallel high-throughput (HTP) initiatives to develop predictive models of relationships between complex genotypes and variable phenotypes of ciliopathies. The models generated are only as good as the wet laboratory data fed into them. It is therefore essential to orchestrate a well-annotated and high-confidence dataset to be able to assess the quality of any HTP dataset. Here, we present the inaugural SYSCILIA gold standard of known ciliary components as a public resource. BioMed Central 2013-05-31 /pmc/articles/PMC3674929/ /pubmed/23725226 http://dx.doi.org/10.1186/2046-2530-2-7 Text en Copyright © 2013 van Dam et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
van Dam, Teunis JP
Wheway, Gabrielle
Slaats, Gisela G
Huynen, Martijn A
Giles, Rachel H
The SYSCILIA gold standard (SCGSv1) of known ciliary components and its applications within a systems biology consortium
title The SYSCILIA gold standard (SCGSv1) of known ciliary components and its applications within a systems biology consortium
title_full The SYSCILIA gold standard (SCGSv1) of known ciliary components and its applications within a systems biology consortium
title_fullStr The SYSCILIA gold standard (SCGSv1) of known ciliary components and its applications within a systems biology consortium
title_full_unstemmed The SYSCILIA gold standard (SCGSv1) of known ciliary components and its applications within a systems biology consortium
title_short The SYSCILIA gold standard (SCGSv1) of known ciliary components and its applications within a systems biology consortium
title_sort syscilia gold standard (scgsv1) of known ciliary components and its applications within a systems biology consortium
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3674929/
https://www.ncbi.nlm.nih.gov/pubmed/23725226
http://dx.doi.org/10.1186/2046-2530-2-7
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