An improved filtering algorithm for big read datasets and its application to single-cell assembly

An improved filtering algorithm for big read datasets and its application to single-cell assembly

Abstract 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 da...

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Bibliographic Details
Main Authors: Axel Wedemeyer, Lasse Kliemann, Anand Srivastav, Christian Schielke, Thorsten B. Reusch, Philip Rosenstiel
Format: Article
Language:English
Published: BMC 2017-07-01
Series:BMC Bioinformatics
Subjects:
Read filtering
Read normalization
Bignorm
Diginorm
Singe cell sequencing
Coverage
Online Access:http://link.springer.com/article/10.1186/s12859-017-1724-7

Internet

http://link.springer.com/article/10.1186/s12859-017-1724-7

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