TY  - CHAP
AU  - Wilson, Gareth A.
AU  - Beck, Stephan
AB  - The combinatorial number of possible methylomes in biological time and space is astronomical. Consequently, the computational analysis of methylomes needs to cater for a variety of data, throughput and resolution. Here, we review recent advances in 2nd generation sequencing (2GS) with a focus on the different methods used for the analysis of MeDIP-seq data. The challenges and opportunities presented by the integration of methylation data with other genomic data types are discussed as is the potential impact of emerging 3rd generation sequencing (3GS) based technologies on methylation analysis.
DO  - 10.5772/61207
ID  - OAPEN ID: 627316
ID  - OAPEN ID: OCN: 1030819225
ID  - OAPEN ID: http://library.oapen.org/handle/20.500.12657/31543
KW  - sequencing
KW  - biochemistry
L1  - https://library.oapen.org/bitstream/20.500.12657/31543/1/627316.pdf
L1  - https://library.oapen.org/bitstream/20.500.12657/31543/1/627316.pdf
L1  - https://library.oapen.org/bitstream/20.500.12657/31543/1/627316.pdf
LA  - English
LK  - https://directory.doabooks.org/handle/20.500.12854/26001
PB  - InTechOpen
PY  - 2016
TI  - Chapter 5 Computational Analysis and Integration of MeDIP-seq Methylome Datanull
ER  - 
