ensemblQueryR:在R中对Ensembl LD API端点进行快速、灵活、高吞吐量的查询。

GigaByte (Hong Kong, China) Pub Date : 2023-09-14 eCollection Date: 2023-01-01 DOI:10.46471/gigabyte.91
Aine Fairbrother-Browne, Sonia García-Ruiz, Regina Hertfelder Reynolds, Mina Ryten, Alan Hodgkinson
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引用次数: 0

摘要

我们提出了ensemblQueryR,一个用于查询Ensembl连锁不平衡(LD)终点的R包。该软件包灵活、快速、用户友好,并针对高通量查询进行了优化。ensemblQueryR使用直观且易于自定义代码集成的函数,熟悉的R对象类型作为输入和输出,并提供并行化功能。对于每个Ensembl-LD端点,ensemblQueryR提供两个函数,允许单查询和多查询操作模式。多查询功能针对大查询大小进行了优化,并提供了可选的并行化,以利用可用的计算资源并最大限度地减少处理时间。在随机存取存储器(RAM)的使用和速度方面,我们展示了ensemblQueryR相对于现有工具的计算性能改进,在使用三分之一RAM的同时,速度提高了10倍。最后,ensemblQueryR通过Docker和奇异图像对操作系统和计算架构几乎是不可知的,这使得科学界可以广泛使用该工具。
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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ensemblQueryR: fast, flexible and high-throughput querying of Ensembl LD API endpoints in R.

We present ensemblQueryR, an R package for querying Ensembl linkage disequilibrium (LD) endpoints. This package is flexible, fast and user-friendly, and optimised for high-throughput querying. ensemblQueryR uses functions that are intuitive and amenable to custom code integration, familiar R object types as inputs and outputs as well as providing parallelisation functionality. For each Ensembl LD endpoint, ensemblQueryR provides two functions, permitting both single- and multi-query modes of operation. The multi-query functions are optimised for large query sizes and provide optional parallelisation to leverage available computational resources and minimise processing time. We demonstrate improved computational performance of ensemblQueryR over an exisiting tool in terms of random access memory (RAM) usage and speed, delivering a 10-fold speed increase whilst using a third of the RAM. Finally, ensemblQueryR is near-agnostic to operating system and computational architecture through Docker and singularity images, making this tool widely accessible to the scientific community.

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