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Infers methylation at individual CGs by modelling biases inherent in MethylSeq experiments. MetaMap is a statistical method that first accounts for the biases in MethylSeq data and then generates an analysis of the data that is suitable for use in comparative studies. An additional important feature of the software is the annotation of strongly unmethylated islands (SUMIs) which, as opposed to the current definition of CpG islands, incorporate information from both a reference sequence and genome-scale methylation data.

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MetMap classification

MetMap specifications

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MetMap distribution


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Computer Science Division, University of California at Berkeley, Berkeley, CA, USA; Children’s Hospital Oakland Research Institute, Oakland, CA, USA; Department of Mathematics, University of California at Berkeley, Berkeley, CA, USA; Department of Molecular and Cell Biology, University of California at Berkeley, Berkeley, CA, USA; Illumina, Hayward, CA, USA

Funding source(s)

Supported by the NIH grants HL084474, ES016581 and CA115768.

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