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

机译:HTS-DB:一种在线资源,用于发布和查询功能基因组学高通量siRNA筛选项目中的数据

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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
机译:高通量筛选(HTS)使用诸如RNA干扰的技术来在基因组规模上生成功能丧失的表型。随着这些技术变得越来越流行,许多研究机构已经建立了专门的核心设施,以应对大规模HTS实验的挑战。随着核心设施筛选项目的努力取得成果,重点已转移到管理这些实验的结果,并使其以有用的格式提供,这些格式可以进一步挖掘以用于表型发现。 HTS-DB数据库提供了CRUK伦敦研究所HTS核心设施进行的筛查项目数据的公共视图。所有项目和屏幕均使用全面的测定规程进行了描述,并且为数据集提供了对分析技术的完整描述。这种格式允许用户以翔实而直观的方式浏览和搜索大规模研究的数据。它还为从不是项目重点的屏幕上获得的其他测量(例如细胞活力)提供了一个存储库,并对这些数据进行了分组,以便可以在多个不同的细胞系和条件下提供以基因为中心的摘要。可以交互查看屏幕上所有可用的数据集,并进行挖掘以获取进一步的命中列表。我们相信,通过这种格式,数据库可以为研究人员提供对大规模实验结果的快速访问,这可能有助于他们理解自己研究中发现的基因/化合物。数据库URL:http://hts.cancerresearchuk.org/db/public

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