Cargando…
Active learning for efficient analysis of high-throughput nanopore data
MOTIVATION: As the third-generation sequencing technology, nanopore sequencing has been used for high-throughput sequencing of DNA, RNA, and even proteins. Recently, many studies have begun to use machine learning technology to analyze the enormous data generated by nanopores. Unfortunately, the suc...
Autores principales: | Guan, Xiaoyu, Li, Zhongnian, Zhou, Yueying, Shao, Wei, Zhang, Daoqiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825740/ https://www.ncbi.nlm.nih.gov/pubmed/36445037 http://dx.doi.org/10.1093/bioinformatics/btac764 |
Ejemplares similares
-
Pore Structures for High-Throughput Nanopore Devices
por: Ryuzaki, Sou, et al.
Publicado: (2020) -
Mapping DNA Methylation with High Throughput Nanopore Sequencing
por: Rand, Arthur C., et al.
Publicado: (2017) -
Application of Nanopore Sequencing for High Throughput Genotyping in Horses
por: Gurgul, Artur, et al.
Publicado: (2023) -
High-Throughput Screening Approach for Nanoporous Materials Genome
Using Topological Data Analysis: Application to Zeolites
por: Lee, Yongjin, et al.
Publicado: (2018) -
S-leaping: an efficient downsampling method for large high-throughput sequencing data
por: Kuwahara, Hiroyuki, et al.
Publicado: (2023)