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Detection bias in microarray and sequencing transcriptomic analysis identified by housekeeping genes

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 seque...

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Autores principales: Zhang, Yijuan, Akintola, Oluwafemi S., Liu, Ken J.A., Sun, Bingyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4706559/
https://www.ncbi.nlm.nih.gov/pubmed/26858976
http://dx.doi.org/10.1016/j.dib.2015.11.045
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author Zhang, Yijuan
Akintola, Oluwafemi S.
Liu, Ken J.A.
Sun, Bingyun
author_facet Zhang, Yijuan
Akintola, Oluwafemi S.
Liu, Ken J.A.
Sun, Bingyun
author_sort Zhang, Yijuan
collection PubMed
description 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.
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spelling pubmed-47065592016-02-08 Detection bias in microarray and sequencing transcriptomic analysis identified by housekeeping genes Zhang, Yijuan Akintola, Oluwafemi S. Liu, Ken J.A. Sun, Bingyun Data Brief Data Article 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. Elsevier 2015-11-27 /pmc/articles/PMC4706559/ /pubmed/26858976 http://dx.doi.org/10.1016/j.dib.2015.11.045 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Zhang, Yijuan
Akintola, Oluwafemi S.
Liu, Ken J.A.
Sun, Bingyun
Detection bias in microarray and sequencing transcriptomic analysis identified by housekeeping genes
title Detection bias in microarray and sequencing transcriptomic analysis identified by housekeeping genes
title_full Detection bias in microarray and sequencing transcriptomic analysis identified by housekeeping genes
title_fullStr Detection bias in microarray and sequencing transcriptomic analysis identified by housekeeping genes
title_full_unstemmed Detection bias in microarray and sequencing transcriptomic analysis identified by housekeeping genes
title_short Detection bias in microarray and sequencing transcriptomic analysis identified by housekeeping genes
title_sort detection bias in microarray and sequencing transcriptomic analysis identified by housekeeping genes
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4706559/
https://www.ncbi.nlm.nih.gov/pubmed/26858976
http://dx.doi.org/10.1016/j.dib.2015.11.045
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