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RabbitQC: high-speed scalable quality control for sequencing data.
Yin, Zekun; Zhang, Hao; Liu, Meiyang; Zhang, Wen; Song, Honglei; Lan, Haidong; Wei, Yanjie; Niu, Beifang; Schmidt, Bertil; Liu, Weiguo.
Afiliação
  • Yin Z; School of Software, Shandong University, Jinan, China.
  • Zhang H; Shenzhen Research Institute of Shandong University, Shenzhen, China.
  • Liu M; School of Software, Shandong University, Jinan, China.
  • Zhang W; School of Software, Shandong University, Jinan, China.
  • Song H; School of Software, Shandong University, Jinan, China.
  • Lan H; School of Software, Shandong University, Jinan, China.
  • Wei Y; Tencent AI Lab, Shenzhen, China.
  • Niu B; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
  • Schmidt B; Computer Network Information Center, Chinese Academy of Sciences, Beijing, China.
  • Liu W; Institute for Computer Science, Johannes Gutenberg University, Mainz, Germany.
Bioinformatics ; 37(4): 573-574, 2021 05 01.
Article em En | MEDLINE | ID: mdl-32790850
ABSTRACT
MOTIVATION Modern sequencing technologies continue to revolutionize many areas of biology and medicine. Since the generated datasets are error-prone, downstream applications usually require quality control methods to pre-process FASTQ files. However, existing tools for this task are currently not able to fully exploit the capabilities of computing platforms leading to slow runtimes.

RESULTS:

We present RabbitQC, an extremely fast integrated quality control tool for FASTQ files, which can take full advantage of modern hardware. It includes a variety of operations and supports different sequencing technologies (Illumina, Oxford Nanopore and PacBio). RabbitQC achieves speedups between one and two orders-of-magnitude compared to other state-of-the-art tools. AVAILABILITY AND IMPLEMENTATION C++ sources and binaries are available at https//github.com/ZekunYin/RabbitQC. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Nanoporos Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Nanoporos Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China