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Bioinformatics. 2018 Sep 1;34(17):i884-i890. doi: 10.1093/bioinformatics/bty560.

fastp: an ultra-fast all-in-one FASTQ preprocessor.

Author information

1
Department of Bioinformatics, HaploX Biotechnology, Shenzhen, China.
2
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.

Abstract

Motivation:

Quality control and preprocessing of FASTQ files are essential to providing clean data for downstream analysis. Traditionally, a different tool is used for each operation, such as quality control, adapter trimming and quality filtering. These tools are often insufficiently fast as most are developed using high-level programming languages (e.g. Python and Java) and provide limited multi-threading support. Reading and loading data multiple times also renders preprocessing slow and I/O inefficient.

Results:

We developed fastp as an ultra-fast FASTQ preprocessor with useful quality control and data-filtering features. It can perform quality control, adapter trimming, quality filtering, per-read quality pruning and many other operations with a single scan of the FASTQ data. This tool is developed in C++ and has multi-threading support. Based on our evaluation, fastp is 2-5 times faster than other FASTQ preprocessing tools such as Trimmomatic or Cutadapt despite performing far more operations than similar tools.

Availability and implementation:

The open-source code and corresponding instructions are available at https://github.com/OpenGene/fastp.

PMID:
30423086
PMCID:
PMC6129281
DOI:
10.1093/bioinformatics/bty560
[Indexed for MEDLINE]
Free PMC Article

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