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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wedemeyer, Axel, Kliemann, Lasse, Srivastav, Anand, Schielke, Christian, Reusch, Thorsten B., Rosenstiel, Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Methodology Article
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

Internet

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

Ejemplares similares