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AfterQC: automatic filtering, trimming, error removing and quality control for fastq data

BACKGROUND: Some applications, especially those clinical applications requiring high accuracy of sequencing data, usually have to face the troubles caused by unavoidable sequencing errors. Several tools have been proposed to profile the sequencing quality, but few of them can quantify or correct the...

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Bibliografski detalji
Izdano u:BMC Bioinformatics
Glavni autori: Chen, Shifu, Huang, Tanxiao, Zhou, Yanqing, Han, Yue, Xu, Mingyan, Gu, Jia
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2017
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5374548/
https://ncbi.nlm.nih.gov/pubmed/28361673
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1469-3
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