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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5374548/ https://www.ncbi.nlm.nih.gov/pubmed/28361673 http://dx.doi.org/10.1186/s12859-017-1469-3 |