fastp: an ultra-fast all-in-one FASTQ preprocessor
文献类型：期刊论文
| 作者 | Shifu Chen; Jia Gu; Yaru Chen; Yanqing Zhou |
| 刊名 | Bioinformatics
 |
| 出版日期 | 2018 |
| 文献子类 | 期刊论文 |
| 英文摘要 | Quality control and preprocessing of FASTQ files are essential to providing clean data for downstream analysis. Traditionally, a different tool is used for each operation, such as quality control, adapter trimming, and quality filtering. These tools are often insufficiently fast as most are developed using high-level programming languages (e.g., Python and Java) and provide limited multithreading support. Reading and loading data multiple times also renders preprocessing slow and I/O inefficient. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/14240]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 推荐引用方式 GB/T 7714 | Shifu Chen,Jia Gu,Yaru Chen,et al. fastp: an ultra-fast all-in-one FASTQ preprocessor[J]. Bioinformatics,2018. |
| APA | Shifu Chen,Jia Gu,Yaru Chen,&Yanqing Zhou.(2018).fastp: an ultra-fast all-in-one FASTQ preprocessor.Bioinformatics. |
| MLA | Shifu Chen,et al."fastp: an ultra-fast all-in-one FASTQ preprocessor".Bioinformatics (2018). |
入库方式： OAI收割
来源：深圳先进技术研究院
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