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HTS-DB: an online resource to publish and query data from functional genomics high-throughput siRNA screening projects

High-throughput screening (HTS) uses technologies such as RNA interference to generate loss-of-function phenotypes on a genomic scale. As these technologies become more popular, many research institutes have established core facilities of expertise to deal with the challenges of large-scale HTS expe...

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Autores principales: Saunders, Rebecca E., Instrell, Rachael, Rispoli, Rossella, Jiang, Ming, Howell, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3796064/
https://www.ncbi.nlm.nih.gov/pubmed/24122843
http://dx.doi.org/10.1093/database/bat072
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author Saunders, Rebecca E.
Instrell, Rachael
Rispoli, Rossella
Jiang, Ming
Howell, Michael
author_facet Saunders, Rebecca E.
Instrell, Rachael
Rispoli, Rossella
Jiang, Ming
Howell, Michael
author_sort Saunders, Rebecca E.
collection PubMed
description High-throughput screening (HTS) uses technologies such as RNA interference to generate loss-of-function phenotypes on a genomic scale. As these technologies become more popular, many research institutes have established core facilities of expertise to deal with the challenges of large-scale HTS experiments. As the efforts of core facility screening projects come to fruition, focus has shifted towards managing the results of these experiments and making them available in a useful format that can be further mined for phenotypic discovery. The HTS-DB database provides a public view of data from screening projects undertaken by the HTS core facility at the CRUK London Research Institute. All projects and screens are described with comprehensive assay protocols, and datasets are provided with complete descriptions of analysis techniques. This format allows users to browse and search data from large-scale studies in an informative and intuitive way. It also provides a repository for additional measurements obtained from screens that were not the focus of the project, such as cell viability, and groups these data so that it can provide a gene-centric summary across several different cell lines and conditions. All datasets from our screens that can be made available can be viewed interactively and mined for further hit lists. We believe that in this format, the database provides researchers with rapid access to results of large-scale experiments that might facilitate their understanding of genes/compounds identified in their own research. Database URL: http://hts.cancerresearchuk.org/db/public
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spelling pubmed-37960642013-10-17 HTS-DB: an online resource to publish and query data from functional genomics high-throughput siRNA screening projects Saunders, Rebecca E. Instrell, Rachael Rispoli, Rossella Jiang, Ming Howell, Michael Database (Oxford) Original Article High-throughput screening (HTS) uses technologies such as RNA interference to generate loss-of-function phenotypes on a genomic scale. As these technologies become more popular, many research institutes have established core facilities of expertise to deal with the challenges of large-scale HTS experiments. As the efforts of core facility screening projects come to fruition, focus has shifted towards managing the results of these experiments and making them available in a useful format that can be further mined for phenotypic discovery. The HTS-DB database provides a public view of data from screening projects undertaken by the HTS core facility at the CRUK London Research Institute. All projects and screens are described with comprehensive assay protocols, and datasets are provided with complete descriptions of analysis techniques. This format allows users to browse and search data from large-scale studies in an informative and intuitive way. It also provides a repository for additional measurements obtained from screens that were not the focus of the project, such as cell viability, and groups these data so that it can provide a gene-centric summary across several different cell lines and conditions. All datasets from our screens that can be made available can be viewed interactively and mined for further hit lists. We believe that in this format, the database provides researchers with rapid access to results of large-scale experiments that might facilitate their understanding of genes/compounds identified in their own research. Database URL: http://hts.cancerresearchuk.org/db/public Oxford University Press 2013-10-10 /pmc/articles/PMC3796064/ /pubmed/24122843 http://dx.doi.org/10.1093/database/bat072 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Saunders, Rebecca E.
Instrell, Rachael
Rispoli, Rossella
Jiang, Ming
Howell, Michael
HTS-DB: an online resource to publish and query data from functional genomics high-throughput siRNA screening projects
title HTS-DB: an online resource to publish and query data from functional genomics high-throughput siRNA screening projects
title_full HTS-DB: an online resource to publish and query data from functional genomics high-throughput siRNA screening projects
title_fullStr HTS-DB: an online resource to publish and query data from functional genomics high-throughput siRNA screening projects
title_full_unstemmed HTS-DB: an online resource to publish and query data from functional genomics high-throughput siRNA screening projects
title_short HTS-DB: an online resource to publish and query data from functional genomics high-throughput siRNA screening projects
title_sort hts-db: an online resource to publish and query data from functional genomics high-throughput sirna screening projects
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3796064/
https://www.ncbi.nlm.nih.gov/pubmed/24122843
http://dx.doi.org/10.1093/database/bat072
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