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An improved filtering algorithm for big read datasets and its application to single-cell assembly
BACKGROUND: For single-cell or metagenomic sequencing projects, it is necessary to sequence with a very high mean coverage in order to make sure that all parts of the sample DNA get covered by the reads produced. This leads to huge datasets with lots of redundant data. A filtering of this data prior...
Autores principales: | Wedemeyer, Axel, Kliemann, Lasse, Srivastav, Anand, Schielke, Christian, Reusch, Thorsten B., Rosenstiel, Philip |
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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/PMC5496428/ https://www.ncbi.nlm.nih.gov/pubmed/28673253 http://dx.doi.org/10.1186/s12859-017-1724-7 |
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