ginmappeR：一种跨生物序列数据库整合基因和蛋白质标识符的统一方法。
ginmappeR: an unified approach for integrating gene and protein identifiers across biological sequence databases.
作者信息
Sola Fernando, Ayala Daniel, Pulido Marina, Ayala Rafael, López-Cerero Lorena, Hernández Inma, Ruiz David
机构信息
SCORE Lab, DEAL, University of Seville, ETSII, 41012 Seville, Spain.
Department of Microbiology, University of Seville, 41009 Seville, Spain.
出版信息
Bioinform Adv. 2024 Aug 29;4(1):vbae129. doi: 10.1093/bioadv/vbae129. eCollection 2024.
SUMMARY
The proliferation of biological sequence data, due to developments in molecular biology techniques, has led to the creation of numerous open access databases on gene and protein sequencing. However, the lack of direct equivalence between identifiers across these databases difficults data integration. To address this challenge, we introduce , an integrated R package facilitating the translation of gene and protein identifiers between databases. By providing a unified interface, streamlines the integration of diverse data sources into biological workflows, so it enhances efficiency and user experience.
AVAILABILITY AND IMPLEMENTATION
from Bioconductor: https://bioconductor.org/packages/ginmappeR.
摘要
由于分子生物学技术的发展，生物序列数据激增，催生了众多关于基因和蛋白质测序的开放获取数据库。然而，这些数据库之间标识符缺乏直接的等效性，给数据整合带来了困难。为应对这一挑战，我们引入了ginmappeR，这是一个集成的R包，便于在数据库之间转换基因和蛋白质标识符。通过提供统一接口，ginmappeR简化了将各种数据源集成到生物学工作流程的过程，从而提高了效率和用户体验。
可用性和实现方式
可从Bioconductor获取：https://bioconductor.org/packages/ginmappeR 。
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