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Falco:用于测序数据质量控制的高速 FastQC 仿真。

Falco: high-speed FastQC emulation for quality control of sequencing data.

机构信息

Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, California, 90089, USA.

出版信息

F1000Res. 2019 Nov 7;8:1874. doi: 10.12688/f1000research.21142.2. eCollection 2019.

Abstract

Quality control is an essential first step in sequencing data analysis, and software tools for quality control are deeply entrenched in standard pipelines at most sequencing centers. Although the associated computations are straightforward, in many settings the total computing effort required for quality control is appreciable and warrants optimization. We present Falco, an emulation of the popular FastQC tool that runs on average three times faster while generating equivalent results. Compared to FastQC, Falco also requires less memory to run and provides more flexible visualization of HTML reports.

摘要

质量控制是测序数据分析的重要第一步,质量控制的软件工具在大多数测序中心的标准流程中都根深蒂固。虽然相关计算很简单,但在许多情况下,质量控制所需的总计算量相当可观,需要进行优化。我们介绍 Falco,这是一个流行的 FastQC 工具的仿真,平均运行速度快三倍,同时生成等效的结果。与 FastQC 相比,Falco 在运行时还需要更少的内存,并提供更灵活的 HTML 报告可视化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e2e/7845409/2d72c8ab96b2/f1000research-8-46637-g0000.jpg

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