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Nat Methods. 2013 Apr;10(4):325-7. doi: 10.1038/nmeth.2375. Epub 2013 Feb 24.

Predicting the molecular complexity of sequencing libraries.

Author information

1
Department of Mathematics, University of Southern California, Los Angeles, California, USA.

Abstract

Predicting the molecular complexity of a genomic sequencing library is a critical but difficult problem in modern sequencing applications. Methods to determine how deeply to sequence to achieve complete coverage or to predict the benefits of additional sequencing are lacking. We introduce an empirical bayesian method to accurately characterize the molecular complexity of a DNA sample for almost any sequencing application on the basis of limited preliminary sequencing.

PMID:
23435259
PMCID:
PMC3612374
DOI:
10.1038/nmeth.2375
[Indexed for MEDLINE]
Free PMC Article

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