49181.pdf
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...
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InTechOpen
2021
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oapen-20.500.12657-491302021-11-23T13:59:23Z Chapter 3 DoF/6 DoF Localization System for Low Computing Power Mobile Robot Platforms Costa, Carlos M. Sobreira, Héber M. Sousa, Armando J. Veiga, Germano DNA methylation, methylome, immuno precipitation, analysis pipeline bic Book Industry Communication::M Medicine::MF Pre-clinical medicine: basic sciences::MFN Medical genetics 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. 2021-06-02T10:07:30Z 2021-06-02T10:07:30Z 2015 chapter ONIX_20210602_10.5772/61258_244 https://library.oapen.org/handle/20.500.12657/49130 eng application/pdf n/a 49181.pdf InTechOpen 10.5772/61258 10.5772/61258 09f6769d-48ed-467d-b150-4cf2680656a1 FP7-SME-2013 606363 open access |
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English |
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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. |
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2021 |
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