Title |
Probabilistic alignment leads to improved accuracy and read coverage for bisulfite sequencing data
|
---|---|
Published in |
BMC Bioinformatics, November 2013
|
DOI | 10.1186/1471-2105-14-337 |
Pubmed ID | |
Authors |
Changjin Hong, Nathan L Clement, Spencer Clement, Saher Sue Hammoud, Douglas T Carrell, Bradley R Cairns, Quinn Snell, Mark J Clement, William Evan Johnson |
Abstract |
DNA methylation has been linked to many important biological phenomena. Researchers have recently begun to sequence bisulfite treated DNA to determine its pattern of methylation. However, sequencing reads from bisulfite-converted DNA can vary significantly from the reference genome because of incomplete bisulfite conversion, genome variation, sequencing errors, and poor quality bases. Therefore, it is often difficult to align reads to the correct locations in the reference genome. Furthermore, bisulfite sequencing experiments have the additional complexity of having to estimate the DNA methylation levels within the sample. |
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Germany | 1 | 20% |
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Mendeley readers
Geographical breakdown
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Student > Bachelor | 5 | 11% |
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Other | 5 | 11% |
Unknown | 5 | 11% |
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