Reproducibility of Illumina platform deep sequencing errors allows accurate determination of DNA barcodes in cells
Details
Publication Year 2016,Volume 17,Issue #1,Page 151
Journal Title
BMC Bioinformatics
Publication Type
Journal Article
Abstract
BACKGROUND: Next generation sequencing (NGS) of amplified DNA is a powerful tool to describe genetic heterogeneity within cell populations that can both be used to investigate the clonal structure of cell populations and to perform genetic lineage tracing. For applications in which both abundant and rare sequences are biologically relevant, the relatively high error rate of NGS techniques complicates data analysis, as it is difficult to distinguish rare true sequences from spurious sequences that are generated by PCR or sequencing errors. This issue, for instance, applies to cellular barcoding strategies that aim to follow the amount and type of offspring of single cells, by supplying these with unique heritable DNA tags. RESULTS: Here, we use genetic barcoding data from the Illumina HiSeq platform to show that straightforward read threshold-based filtering of data is typically insufficient to filter out spurious barcodes. Importantly, we demonstrate that specific sequencing errors occur at an approximately constant rate across different samples that are sequenced in parallel. We exploit this observation by developing a novel approach to filter out spurious sequences. CONCLUSIONS: Application of our new method demonstrates its value in the identification of true sequences amongst spurious sequences in biological data sets.
Research Division(s)
Molecular Medicine
PubMed ID
27038897
Terms of Use/Rights Notice
Refer to copyright notice on published article.


Creation Date: 2016-04-05 01:43:55
Last Modified: 2016-04-05 01:49:49
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