Zhang Yijuan, Akintola Oluwafemi S, Liu Ken J A, Sun Bingyun
Department of Chemistry, Simon Fraser University, Burnaby, British Columbia, Canada.
Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, British Columbia, Canada.
Data Brief. 2015 Nov 27;6:121-3. doi: 10.1016/j.dib.2015.11.045. eCollection 2016 Mar.
This work includes the original data used to discover the gene ontology bias in transcriptomic analysis conducted by microarray and high throughput sequencing (Zhang et al., 2015) [1]. In the analysis, housekeeping genes were used to examine the differential detection ability by microarray and sequencing because these genes are probably the most reliably detected. The genes included here were compiled from 15 human housekeeping gene studies. The provided tables here comprise of detailed chromosomal location, detection breadth, normalized expression level, exon count, total exon length, and total intron length of each concerned gene and their related transcripts. We hope this information can help researchers better understand the differences in gene ontology-bias we discussed (Zhang et al., 2015) [1] and can encourage further improvement on these two technology platforms.
这项工作包含了用于发现通过微阵列和高通量测序进行的转录组分析中基因本体偏差的原始数据（Zhang等人，2015年）[1]。在该分析中，管家基因被用于检验微阵列和测序的差异检测能力，因为这些基因可能是检测最可靠的。此处包含的基因是从15项人类管家基因研究中汇编而来的。这里提供的表格包含了每个相关基因及其相关转录本的详细染色体位置、检测广度、标准化表达水平、外显子数量、外显子总长度和内含子总长度。我们希望这些信息能够帮助研究人员更好地理解我们所讨论的基因本体偏差差异（Zhang等人，2015年）[1]，并能够鼓励对这两个技术平台进行进一步改进。
