基因组在线数据库(GOLD)v.10:新功能和更新。

IF 16.6 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Supratim Mukherjee, Dimitri Stamatis, Cindy Tianqing Li, Galina Ovchinnikova, Mahathi Kandimalla, Van Handke, Anuha Reddy, Natalia Ivanova, Tanja Woyke, Emiley A Eloe-Fardosh, I-Min A Chen, Nikos C Kyrpides, T B K Reddy
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引用次数: 0

摘要

能源部联合基因组研究所的基因组在线数据库(GOLD; https://gold.jgi.doe.gov/)是一个综合性在线元数据储存库,旨在编目和管理与(元)基因组序列项目相关的信息。GOLD 提供了一个集中式平台,研究人员可以从其四个组织层次(即研究、生物/生物样本、测序项目和分析项目)访问大量元数据。自 1997 年成立以来,GOLD 一直是一个宝贵的资源,并经历了显著的增长和扩展。随着其作为合作平台的作用不断扩大,它不仅积极从国家生物技术信息中心等其他主要资源库导入数据,还支持全球研究人员提供数据。这种合作方式用不同的数据集丰富了数据库,为提高科学洞察力创造了更多的整合资源。随着基因组研究日益成为各科学学科不可或缺的一部分,越来越多的研究人员和机构开始求助于 GOLD 来满足他们对元数据的需求。为了满足这种日益增长的需求,GOLD 通过增加各种元数据字段、直观功能、高级搜索功能和增强的数据可视化工具进行了扩展,使用户更容易查找和解读相关信息。本手稿提供了最新信息,并重点介绍了过去两年中推出的新功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genomes OnLine Database (GOLD) v.10: new features and updates.

The Genomes OnLine Database (GOLD; https://gold.jgi.doe.gov/) at the Department of Energy Joint Genome Institute is a comprehensive online metadata repository designed to catalog and manage information related to (meta)genomic sequence projects. GOLD provides a centralized platform where researchers can access a wide array of metadata from its four organization levels namely Study, Organism/Biosample, Sequencing Project and Analysis Project. GOLD continues to serve as a valuable resource and has seen significant growth and expansion since its inception in 1997. With its expanded role as a collaborative platform, it not only actively imports data from other primary repositories like National Center for Biotechnology Information but also supports contributions from researchers worldwide. This collaborative approach has enriched the database with diverse datasets, creating a more integrated resource to enhance scientific insights. As genomic research becomes increasingly integral to various scientific disciplines, more researchers and institutions are turning to GOLD for their metadata needs. To meet this growing demand, GOLD has expanded by adding diverse metadata fields, intuitive features, advanced search capabilities and enhanced data visualization tools, making it easier for users to find and interpret relevant information. This manuscript provides an update and highlights the new features introduced over the last 2 years.

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来源期刊
Nucleic Acids Research
Nucleic Acids Research 生物-生化与分子生物学
CiteScore
27.10
自引率
4.70%
发文量
1057
审稿时长
2 months
期刊介绍: Nucleic Acids Research (NAR) is a scientific journal that publishes research on various aspects of nucleic acids and proteins involved in nucleic acid metabolism and interactions. It covers areas such as chemistry and synthetic biology, computational biology, gene regulation, chromatin and epigenetics, genome integrity, repair and replication, genomics, molecular biology, nucleic acid enzymes, RNA, and structural biology. The journal also includes a Survey and Summary section for brief reviews. Additionally, each year, the first issue is dedicated to biological databases, and an issue in July focuses on web-based software resources for the biological community. Nucleic Acids Research is indexed by several services including Abstracts on Hygiene and Communicable Diseases, Animal Breeding Abstracts, Agricultural Engineering Abstracts, Agbiotech News and Information, BIOSIS Previews, CAB Abstracts, and EMBASE.
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