title: Detection bias in microarray and sequencing transcriptomic analysis identified by housekeeping genes.
abstract: 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.
authors: Department of Chemistry, Simon Fraser University, Burnaby, British Columbia, Canada.
authors: Yijuan
authors: Y
authors: Zhang
authors: Department of Chemistry, Simon Fraser University, Burnaby, British Columbia, Canada.
authors: Oluwafemi S
authors: OS
authors: Akintola
authors: Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, British Columbia, Canada.
authors: Ken J A
authors: KJ
authors: Liu
authors: Department of Chemistry, Simon Fraser University, Burnaby, British Columbia, Canada; Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, British Columbia, Canada.
authors: Bingyun
authors: B
authors: Sun
keywords: Housekeeping genes; Microarray; Next-generation sequencing; RNA-seq; Sequencing; Transcriptome