Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

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Expression data for HT29 cells treated with 5-aza-deoxy-cytidine


ABSTRACT: This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

ORGANISM(S): Homo sapiens

SUBMITTER: Xiao Xu 

PROVIDER: E-GEOD-41588 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Parallel comparison of Illumina RNA-Seq and Affymetrix microarray platforms on transcriptomic profiles generated from 5-aza-deoxy-cytidine treated HT-29 colon cancer cells and simulated datasets.

Xu Xiao X   Zhang Yuanhao Y   Williams Jennie J   Antoniou Eric E   McCombie W Richard WR   Wu Song S   Zhu Wei W   Davidson Nicholas O NO   Denoya Paula P   Li Ellen E  

BMC bioinformatics 20130628


<h4>Background</h4>High throughput parallel sequencing, RNA-Seq, has recently emerged as an appealing alternative to microarray in identifying differentially expressed genes (DEG) between biological groups. However, there still exists considerable discrepancy on gene expression measurements and DEG results between the two platforms. The objective of this study was to compare parallel paired-end RNA-Seq and microarray data generated on 5-azadeoxy-cytidine (5-Aza) treated HT-29 colon cancer cells  ...[more]

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