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...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Shifu, Huang, Tanxiao, Zhou, Yanqing, Han, Yue, Xu, Mingyan, Gu, Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
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

Internet

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

Ejemplares similares