DNA methylation profiling from high-throughput sequencing data Hackenberg , Michael Barturen, Guillermo Oliver, José Luis DNA sequences Genome Methylation Sequencing data In this chapter we will review the common steps in the analysis of whole genome singlebase-pair resolution methylation data including the pre-processing of the reads, the alignment and the read out of the methylation information of individual cytosines. We will specially focus on the possible error sources which need to be taken into account in order to generate high quality methylation maps. Several tools have been already developed to convert the sequencing data into knowledge about the methylation levels. We will review the most used tools discussing both technical aspects like user-friendliness and speed, but also biologically relevant questions as the quality control. For one of these tools, NGSmethPipe, we will give a step by step tutorial including installation and methylation profiling for different data types and species. We will conclude the chapter with a brief discussion of NGSmethDB, a database for the storage of single-base resolution methylation maps that can be used to further analyze the obtained methylation maps. 2014-06-18T08:34:29Z 2014-06-18T08:34:29Z 2012 info:eu-repo/semantics/bookPart Hackenberg, M.; Barturen, G.; Oliver, J.L. DNA methylation profiling from high-throughput sequencing data. In: Tatiana Tatarinova (ed.). DNA methylation - from genomics to technology. Rijeka (Croatia): InTech, 2012. pp. 29-54. [http://hdl.handle.net/10481/32291] 978-953-51-0320-2 http://hdl.handle.net/10481/32291 10.5772/34825 eng http://creativecommons.org/licenses/by-nc-nd/3.0/ info:eu-repo/semantics/openAccess Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License InTech Open Access Publisher