fastp 1.0: An ultra‐fast all‐round tool for FASTQ data quality control and preprocessing

Fastp has been recognized as one of the most popular FASTQ file preprocessors because of its powerful functions and extreme performance. As its first major update, fastp 1.0 will be formally presented in this paper, including its new features and the implementation principles behind it. Two other popular FASTQ preprocessors, Trimmomatic and Cutadapt, will be compared to demonstrate the great advantages of fastp in terms of simplicity, efficiency, and versatility. Some modules, such as the batch processing scripts, will be introduced on how to apply fastp to process FASTQ files efficiently. Additionally, some software design principles will be highlighted to showcase how to develop a successful bioinformatics software.

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Publication Details

Journal
iMeta
Published
2025-09-09
DOI
https://doi.org/10.1002/imt2.70078
Citations
51
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
126.53
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article

fastp 1.0: An ultra‐fast all‐round tool for FASTQ data quality control and preprocessing

Shifu Chen
51 citations
iMeta
Computational Physics and Python Applications
126.53
article

fastp 1.0: An ultra‐fast all‐round tool for FASTQ data quality control and preprocessing

Shifu Chen
article en
51 citations

Abstract

Fastp has been recognized as one of the most popular FASTQ file preprocessors because of its powerful functions and extreme performance. As its first major update, fastp 1.0 will be formally presented in this paper, including its new features and the implementation principles behind it. Two other popular FASTQ preprocessors, Trimmomatic and Cutadapt, will be compared to demonstrate the great advantages of fastp in terms of simplicity, efficiency, and versatility. Some modules, such as the batch processing scripts, will be introduced on how to apply fastp to process FASTQ files efficiently. Additionally, some software design principles will be highlighted to showcase how to develop a successful bioinformatics software.

iMetaVol. 4(5)
Shenzhen Bioeasy Biotechnology (China) (CN), Gannan Medical University (CN), City University of Macau (MO)
Openalex Percentile: Top 0%
Computational Physics and Python Applications
126.53
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