Error Correction in Methylation Profiling From NGS Bisulfite Protocols View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017

AUTHORS

Guillermo Barturen , José L. Oliver , Michael Hackenberg

ABSTRACT

Whole genome bisulfite sequencing (WGBS) has emerged as the primary technique for DNA methylation studies, because of its great potential in terms of speed, specificity, and the capability of addressing new biological implications as non-CpG context methylation or hemimethylation. However, despite the improvement that has meant the appearance of WGBS, processing and analyzing the resulting datasets is not as straightforward as in other methylation assays, and special care should be taken to obtain reliable results. As far as we know, an extensive review on the error sources that can bias methylation level measurement and the different algorithms that have been proposed to deal with it does not exist. Therefore, in this chapter all known WGBS error sources will be extensively reviewed and critically evaluated in order to suggest a couple of best practices to deal with all sources of bias in WGBS assays. More... »

PAGES

167-183

References to SciGraph publications

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  • Book

    TITLE

    Algorithms for Next-Generation Sequencing Data

    ISBN

    978-3-319-59824-6
    978-3-319-59826-0

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-59826-0_8

    DOI

    http://dx.doi.org/10.1007/978-3-319-59826-0_8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1091836059


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    290 schema:name Universidad de Granada, Campus de Fuentenueva s/n
    291 rdf:type schema:Organization
     




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