cancercelllines.org—a novel resource for genomic variants in cancer cell lines

IF 3.4 4区生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY

Database: The Journal of Biological Databases and Curation Pub Date : 2024-04-30 DOI:10.1093/database/baae030

Rahel Paloots, Michael Baudis

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引用次数: 0

Abstract

Cancer cell lines are an important component in biological and medical research, enabling studies of cellular mechanisms as well as the development and testing of pharmaceuticals. Genomic alterations in cancer cell lines are widely studied as models for oncogenetic events and are represented in a wide range of primary resources. We have created a comprehensive, curated knowledge resource—cancercelllines.org—with the aim to enable easy access to genomic profiling data in cancer cell lines, curated from a variety of resources and integrating both copy number and single nucleotide variants data. We have gathered over 5600 copy number profiles as well as single nucleotide variant annotations for 16 000 cell lines and provide these data with mappings to the GRCh38 reference genome. Both genomic variations and associated curated metadata can be queried through the GA4GH Beacon v2 Application Programming Interface (API) and a graphical user interface with extensive data retrieval enabled using GA4GH data schemas under a permissive licensing scheme. Database URL: https://cancercelllines.org

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cancercelllines.org--癌症细胞系基因组变异的新资源

癌症细胞系是生物和医学研究的重要组成部分，有助于研究细胞机制以及开发和测试药物。癌症细胞系中的基因组改变作为肿瘤基因事件的模型被广泛研究，并在各种原始资源中有所体现。我们创建了一个全面的、经过整理的知识资源-cancercelllines.org，目的是让人们能够方便地获取癌症细胞系的基因组剖析数据，这些数据来自各种资源，并整合了拷贝数和单核苷酸变异数据。我们收集了 16000 个细胞系的 5600 多个拷贝数图谱和单核苷酸变异注释，并提供这些数据与 GRCh38 参考基因组的映射。可通过 GA4GH Beacon v2 应用编程接口 (API) 和图形用户界面查询基因组变异和相关的策划元数据，并可根据许可计划使用 GA4GH 数据模式进行广泛的数据检索。数据库 URL: https://cancercelllines.org

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Database: The Journal of Biological Databases and Curation MATHEMATICAL & COMPUTATIONAL BIOLOGY-

CiteScore

9.00

自引率

3.40%

发文量

100

审稿时长

>12 weeks

期刊介绍： Huge volumes of primary data are archived in numerous open-access databases, and with new generation technologies becoming more common in laboratories, large datasets will become even more prevalent. The archiving, curation, analysis and interpretation of all of these data are a challenge. Database development and biocuration are at the forefront of the endeavor to make sense of this mounting deluge of data. Database: The Journal of Biological Databases and Curation provides an open access platform for the presentation of novel ideas in database research and biocuration, and aims to help strengthen the bridge between database developers, curators, and users.