生物
领域(数学)
分辨率(逻辑)
基础(拓扑)
遗传学
计算生物学
DNA
进化生物学
计算机科学
人工智能
数学
数学分析
纯数学
作者
Matthew D. Schultz,Robert J. Schmitz,Joseph R. Ecker
标识
DOI:10.1016/j.tig.2012.10.012
摘要
Over the past few years the cost of DNA sequencing has plummeted while the numbers and lengths of sequencing reads have increased. This sequencing revolution has led to widespread adoption of methods to investigate genome-wide patterns of DNA methylation, collectively referred to as whole-genome bisulfite sequencing (WGBS). Single-base resolution DNA methylomes are now routinely being decoded by combining high-throughput sequencing with sodium bisulfite conversion, the gold-standard method for the detection of cytosine DNA methylation [1,2]. With increasing acquisition and analysis of DNA methylomes there is a growing need to reach a consensus on the definition(s) of the amount of methylation at a specific cytosine or region. ‘Methylation level’ is often poorly defined, and can vary significantly depending on the experimenter and the queries being addressed. Therefore, we propose a set of guidelines to be considered when analyzing ‘methylation levels’ from WGBS data.
科研通智能强力驱动
Strongly Powered by AbleSci AI