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NanoPrePro: a fully equipped, fast, and memory-efficient preprocessor for nanopore transcriptomic sequencing

delete2026-01-01
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PRE
AI
C
Chia-Chen Chu
Y
Yu, Jhong-He
S
S. M. Kuo
F
Fan-Wei Yang
C
Chia-Chang Lin
C
Chang-Hung Chen
Y
Yichen Wu
C
Cing Shih
Y
Y. H. Sun
T
Te‐Lun Mai
C
Chen, Ying-Lan
H
Hsin-Hung Lin
J
Jung-Chen Su *
Y
Ying‐Chung Jimmy Lin *
DOI:10.1093/bib/bbag063delete
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Abstract

Abstract

En 中文
NanoPrePro is a streamlined read preprocessor specifically designed for high precision in identifying full-length reads from Oxford Nanopore Technology (ONT) transcriptomic sequencing results, achieved through the precise identification of adapters/primers. However, the preprocessing of ONT reads has been a long-term neglected and ambiguous area without thorough and systematic investigation. Here, we developed NanoPrePro that outperformed the current best preprocessor, Pychopper, using simulated and real datasets. Through sequence similarity, adapter/primer location, and adapter/primer length, NanoPrePro exerted a self-optimizing function to extract the best parameters in each sequencing file for users to customize their analyses. Furthermore, NanoPrePro shows a 38-times faster speed with less memory cost. NanoPrePro can be regarded as the state-of-the-art preprocessor with forward adaptability of ONT sequencing.
Keywords:
Oxford nanopore technologies
transcriptome sequencing
preprocessing

Journal

Briefings in Bioinformatics cover
Briefings in Bioinformatics
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national cheng kung university
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national taiwan university
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