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LINCS 数据门户 2.0:扰动-响应特征的新一代接入点。

LINCS Data Portal 2.0: next generation access point for perturbation-response signatures.

机构信息

Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, USA.

Center for Computational Science, University of Miami, USA.

出版信息

Nucleic Acids Res. 2020 Jan 8;48(D1):D431-D439. doi: 10.1093/nar/gkz1023.

Abstract

The Library of Integrated Network-Based Cellular Signatures (LINCS) is an NIH Common Fund program with the goal of generating a large-scale and comprehensive catalogue of perturbation-response signatures by utilizing a diverse collection of perturbations across many model systems and assay types. The LINCS Data Portal (LDP) has been the primary access point for the compendium of LINCS data and has been widely utilized. Here, we report the first major update of LDP (http://lincsportal.ccs.miami.edu/signatures) with substantial changes in the data architecture and APIs, a completely redesigned user interface, and enhanced curated metadata annotations to support more advanced, intuitive and deeper querying, exploration and analysis capabilities. The cornerstone of this update has been the decision to reprocess all high-level LINCS datasets and make them accessible at the data point level enabling users to directly access and download any subset of signatures across the entire library independent from the originating source, project or assay. Access to the individual signatures also enables the newly implemented signature search functionality, which utilizes the iLINCS platform to identify conditions that mimic or reverse gene set queries. A newly designed query interface enables global metadata search with autosuggest across all annotations associated with perturbations, model systems, and signatures.

摘要

集成网络细胞特征图谱库 (LINCS) 是美国国立卫生研究院的一个联合基金项目,其目标是通过利用来自多种模型系统和检测类型的多样化扰动集合,生成大规模和全面的扰动反应特征图谱目录。LINCS 数据门户 (LDP) 一直是 LINCS 数据总集的主要访问点,并且得到了广泛的应用。在这里,我们报告了 LDP 的首次重大更新 (http://lincsportal.ccs.miami.edu/signatures),在数据架构和 API 方面进行了重大更改,重新设计了用户界面,并增强了经过整理的元数据注释,以支持更高级、直观和更深入的查询、探索和分析功能。此次更新的基石是决定重新处理所有高级 LINCS 数据集,并使它们能够在数据点级别访问,使用户能够直接访问和下载整个库中任何特征图谱的任何子集,而无需考虑原始来源、项目或检测。对单个特征图谱的访问还启用了新实现的特征图谱搜索功能,该功能利用 iLINCS 平台来识别模拟或反转基因集查询的条件。新设计的查询界面可在与扰动、模型系统和特征图谱相关的所有注释上进行全局元数据搜索,并提供自动建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36d4/7145650/b28e14905260/gkz1023fig1.jpg

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