短读长纳米孔测序的精确碱基识别

The Precise Basecalling of Short-Read Nanopore Sequencing.

作者信息

Wang Ziyuan, Tu Mei-Juan, Song Chengcheng, Liu Ziyang, Wang Katherine K, Chen Shuibing, Yu Ai-Ming, Ding Hongxu

机构信息

Department of Pharmacy Practice and Science, University of Arizona, Tucson, Arizona, USA.

These authors contributed equally to this work.

出版信息

bioRxiv. 2024 Sep 17:2024.09.12.612746. doi: 10.1101/2024.09.12.612746.

DOI:10.1101/2024.09.12.612746

PMID:39345391

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11429927/

Abstract

The nanopore sequencing of short sequences, whose lengths are typically less than 0.3kb therefore comparable with Illumina sequencing techniques, has recently gained wide attention. Here, we design a scheme for training nanopore basecallers that are specialized for short biomolecules. With bioengineered RNA (BioRNA) molecules as examples, we demonstrate the superior accuracy of basecallers trained by our scheme.

摘要

短序列的纳米孔测序最近受到了广泛关注，其序列长度通常小于0.3kb，因此可与Illumina测序技术相媲美。在这里，我们设计了一种训练专门用于短生物分子的纳米孔碱基识别器的方案。以生物工程RNA（BioRNA）分子为例，我们展示了通过我们的方案训练的碱基识别器的卓越准确性。