S-Khan Lab, Mardan, Khyber Pakhtunkhwa, Pakistan.
Department of Chemistry, Nangarhar University, Jalalabad, Afghanistan.
Curr Protoc. 2024 May;4(5):e1063. doi: 10.1002/cpz1.1063.
The emergence of computer technologies and computing power has led to the development of several database systems that provide standardized access to vast quantities of data, making it possible to collect, search, index, evaluate, and extract useful knowledge across various fields. The Home of All Biological Databases (HABD) has been established as a continually expanding platform that aims to store, organize, and distribute biological data in a searchable manner, removing all dead and non-accessible data. The platform meticulously categorizes data into various categories, such as COVID-19 Pandemic Database (CO-19PDB), Database relevant to Human Research (DBHR), Cancer Research Database (CRDB), Latest Database of Protein Research (LDBPR), Fungi Databases Collection (FDBC), and many other databases that are categorized based on biological phenomena. It currently provides a total of 22 databases, including 6 published, 5 submitted, and the remaining in various stages of development. These databases encompass a range of areas, including phytochemical-specific and plastic biodegradation databases. HABD is equipped with search engine optimization (SEO) analyzer and Neil Patel tools, which ensure excellent SEO and high-speed value. With timely updates, HABD aims to facilitate the processing and visualization of data for scientists, providing a one-stop-shop for all biological databases. Computer platforms, such as PhP, html, CSS, Java script and Biopython, are used to build all the databases. © 2024 Wiley Periodicals LLC.
计算机技术和计算能力的出现催生了许多数据库系统，这些系统提供了标准化的方式来访问大量数据，使得在各个领域收集、搜索、索引、评估和提取有用知识成为可能。全生物数据库之家（HABD）已经建立成为一个不断扩展的平台，旨在以可搜索的方式存储、组织和分发生物数据，去除所有已死和不可访问的数据。该平台精心将数据分为各种类别，如 COVID-19 大流行数据库（CO-19PDB）、与人类研究相关的数据库（DBHR）、癌症研究数据库（CRDB）、最新蛋白质研究数据库（LDBPR）、真菌数据库集合（FDBC），以及许多其他基于生物现象进行分类的数据库。目前，它提供了总共 22 个数据库，包括 6 个已发布的、5 个提交的，其余的处于不同的开发阶段。这些数据库涵盖了一系列领域，包括植物化学物质特定数据库和塑料生物降解数据库。HABD 配备了搜索引擎优化（SEO）分析器和 Neil Patel 工具，确保了出色的 SEO 和高速价值。通过及时更新，HABD 旨在为科学家提供方便的数据处理和可视化，成为所有生物数据库的一站式服务。所有数据库都使用计算机平台，如 PhP、html、CSS、Java script 和 Biopython 构建。© 2024 Wiley Periodicals LLC.
