RabbitQCPlus 2.0: More efficient and versatile quality control for sequencing data-Reference-Cited by-同舟云学术

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RabbitQCPlus 2.0: More efficient and versatile quality control for sequencing data

Published:2023-08 Issue: Volume:216 Page:39-50
ISSN:1046-2023
Container-title:Methods
language:en
Short-container-title:Methods

Author:

Yan Lifeng^ORCID,Yin Zekun,Zhang Hao,Zhao Zhan,Wang Mingkai,Müller André,Kallenborn Felix,Wichmann Alexander,Wei Yanjie,Niu Beifang,Schmidt Bertil,Liu Weiguo

Funder

National Natural Science Foundation of China

Ministry of Education of the People's Republic of China

Natural Science Foundation of Shandong Province

Deutsche Forschungsgemeinschaft

Publisher

Elsevier BV

Subject

General Biochemistry, Genetics and Molecular Biology,Molecular Biology

Reference30 articles.

1. Coming of age: ten years of next-generation sequencing technologies;Goodwin;Nat. Rev. Genet.,2016

2. Next-generation sequencing: big data meets high performance computing;Schmidt;Drug Discov. Today,2017

3. Computing platforms for big biological data analytics: perspectives and challenges;Yin;Comput. Struct. Biotechnol. J.,2017

4. Pacbio sequencing and its applications;Rhoads;Genomics Proteomics Bioinform.,2015

5. Nanopore development at Oxford nanopore;Brown;Nat. Biotechnol.,2016

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Computational intelligence in bioinformatics and biomedicine;Methods;2024-07

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