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GDA, a web-based tool for Genomics and Drugs integrated analysis

机译:GDA,基于网络的基因组学和药物综合分析工具

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Several major screenings of genetic profiling and drug testing in cancer cell lines proved that the integration of genomic portraits and compound activities is effective in discovering new genetic markers of drug sensitivity and clinically relevant anticancer compounds. Despite most genetic and drug response data are publicly available, the availability of user-friendly tools for their integrative analysis remains limited, thus hampering an effective exploitation of this information. Here, we present GDA, a web-based tool for Genomics and Drugs integrated Analysis that combines drug response data for 50 800 compounds with mutations and gene expression profiles across 73 cancer cell lines. Genomic and pharmacological data are integrated through a modular architecture that allows users to identify compounds active towards cancer cell lines bearing a specific genomic background and, conversely, the mutational or transcriptional status of cells responding or not-responding to a specific compound. Results are presented through intuitive graphical representations and supplemented with information obtained from public repositories. As both personalized targeted therapies and drug-repurposing are gaining increasing attention, GDA represents a resource to formulate hypotheses on the interplay between genomic traits and drug response in cancer. GDA is freely available at http://gda.unimore.it/.
机译:在癌细胞系中对基因谱分析和药物测试的几项主要筛选证明,基因组肖像和化合物活性的整合可有效地发现药物敏感性和临床相关抗癌化合物的新遗传标记。尽管大多数遗传和药物反应数据是可公开获得的,但用于其综合分析的用户友好工具的可用性仍然有限,因此妨碍了对该信息的有效利用。在这里,我们介绍GDA,这是一个基于网络的基因组学和药物综合分析工具,它将超过50 800种化合物的药物反应数据与73个癌细胞系的突变和基因表达谱相结合。基因组和药理学数据通过模块化体系结构整合在一起,该模块体系结构允许用户识别对具有特定基因组背景的癌细胞具有活性的化合物,反之,则可识别对特定化合物有反应或无反应的细胞的突变或转录状态。结果通过直观的图形表示形式呈现,并补充有从公共资源库获得的信息。随着个性化靶向疗法和药物替代用途越来越受到关注,GDA代表了一种资源,可以针对癌症的基因组性状与药物反应之间的相互作用提出假设。 GDA可从http://gda.unimore.it/免费获得。

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