What is microarray gene expression data?
A microarray is a laboratory tool used to detect the expression of thousands of genes at the same time. The DNA molecules attached to each slide act as probes to detect gene expression, which is also known as the transcriptome or the set of messenger RNA (mRNA) transcripts expressed by a group of genes. …
What is GSE in bioinformatics?
Abstract. We present GSE, the Genomic Spatial Event database, a system to store, retrieve, and analyze all types of high-throughput microarray data.
What is a genomic database?
The term ‘genomic databases’ is defined in this article as electronic collections of genomic data that have been derived from human biological samples, which are made available to researchers under certain conditions.
How do you do a microarray analysis?
To perform a microarray analysis, mRNA molecules are typically collected from both an experimental sample and a reference sample. For example, the reference sample could be collected from a healthy individual, and the experimental sample could be collected from an individual with a disease like cancer.
What are the gene expression database?
The Gene Expression Database (GXD) is a community resource for gene expression information from the laboratory mouse. GXD stores and integrates different types of expression data and makes these data freely available in formats appropriate for comprehensive analysis. Gene Expression Query Forms. Data Acquisition.
How does microarray analysis of individual cortical layers across cortex identify transcriptome-based relationships?
Microarray analysis of individual cortical layers across cortex identified specific molecular signatures for individual cortical layers and areas. Overall, transcriptome-based relationships were related to spatial proximity, being strongest between neighboring cortical areas and between proximal layers.
What is transcriptome analysis technology?
Transcriptome analysis technologies are important systems-biology methods for the investigation and optimization of mammalian cell cultures concerning with regard to growth rates and productivity.
Why is RNA-seq sequencing becoming the preferred tool for transcriptome analysis?
This is likely because RNA-Seq sequencing technology is new to most researchers, more expensive than microarray, data storage is more challenging and analysis is more complex. We expect that once these barriers are overcome, the RNA-Seq platform will become the predominant tool for transcriptome analysis.
What is the difference between RNA-Seq and microarray?
The overall dynamic range was much broader in RNA-Seq (2.6×105) than that in microarray (3.6×103), especially at both the lower (with relative expression level less than 0.55) and the upper (with relative expression level greater than 0.95) ends.