生物
Spike(软件开发)
染色质
基因组
核小体
组蛋白
规范化(社会学)
计算生物学
遗传学
占用率
DNA
基因
进化生物学
计算机科学
人类学
软件工程
社会学
生态学
作者
Kaifu Chen,Zheng Hu,Zheng Xia,Dongyu Zhao,Wei Li,Jessica K. Tyler
摘要
Genome-wide analyses of changes in gene expression, transcription factor occupancy on DNA, histone modification patterns on chromatin, genomic copy number variation, and nucleosome positioning have become popular in many modern laboratories, yielding a wealth of information during health and disease states. However, most of these studies have overlooked an inherent normalization problem that must be corrected with spike-in controls. Here we describe the reason why spike-in controls are so important and explain how to appropriately design and use spike-in controls for normalization. We also suggest ways to retrospectively renormalize data sets that were wrongly interpreted due to omission of spike-in controls.
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