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用于多基因疾病注释和系统分析的 Lynx 网络服务。

Lynx web services for annotations and systems analysis of multi-gene disorders.

机构信息

Computation Institute, University of Chicago/Argonne National Laboratory, Chicago, IL 60637, USA

Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA.

出版信息

Nucleic Acids Res. 2014 Jul;42(Web Server issue):W473-7. doi: 10.1093/nar/gku517. Epub 2014 Jun 19.

DOI:10.1093/nar/gku517
PMID:24948611
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4086124/
Abstract

Lynx is a web-based integrated systems biology platform that supports annotation and analysis of experimental data and generation of weighted hypotheses on molecular mechanisms contributing to human phenotypes and disorders of interest. Lynx has integrated multiple classes of biomedical data (genomic, proteomic, pathways, phenotypic, toxicogenomic, contextual and others) from various public databases as well as manually curated data from our group and collaborators (LynxKB). Lynx provides tools for gene list enrichment analysis using multiple functional annotations and network-based gene prioritization. Lynx provides access to the integrated database and the analytical tools via REST based Web Services (http://lynx.ci.uchicago.edu/webservices.html). This comprises data retrieval services for specific functional annotations, services to search across the complete LynxKB (powered by Lucene), and services to access the analytical tools built within the Lynx platform.

摘要

Lynx 是一个基于网络的综合系统生物学平台,支持对实验数据进行注释和分析,并生成有关导致人类表型和关注疾病的分子机制的加权假设。Lynx 整合了来自多个公共数据库的多类生物医学数据(基因组、蛋白质组、途径、表型、毒理基因组、上下文等),以及来自我们团队和合作者(LynxKB)的人工整理数据。Lynx 提供了使用多种功能注释和基于网络的基因优先级排序进行基因列表富集分析的工具。Lynx 通过基于 REST 的 Web 服务(http://lynx.ci.uchicago.edu/webservices.html)提供对集成数据库和分析工具的访问。这包括特定功能注释的数据检索服务、跨完整 LynxKB 的搜索服务(由 Lucene 提供支持),以及访问 Lynx 平台内构建的分析工具的服务。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7669/4086124/1c23d11d8a9e/gku517fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7669/4086124/1c23d11d8a9e/gku517fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7669/4086124/1c23d11d8a9e/gku517fig1.jpg

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