Contents
What is gene expression data analysis?
The raw microarray data are images, which have to be transformed into gene expression matrices–tables where rows represent genes, columns represent various samples such as tissues or experimental conditions, and numbers in each cell characterize the expression level of the particular gene in the particular sample.
Why is a genome needed for RNA-seq analysis?
Summary of RNA-Seq. Within the organism, genes are transcribed and (in an eukaryotic organism) spliced to produce mature mRNA transcripts (red). These sequences can then be aligned to a reference genome sequence to reconstruct which genome regions were being transcribed.
Where is RNA-seq data?
ARCHS4 is a web resource that makes the majority of published RNA-seq data from human and mouse available at the gene and transcript levels. For developing ARCHS4, available FASTQ files from RNA-seq experiments from the Gene Expression Omnibus (GEO) were aligned using a cloud-based infrastructure.
What is RNA-seq analysis?
RNA-seq (RNA-sequencing) is a technique that can examine the quantity and sequences of RNA in a sample using next-generation sequencing (NGS). It analyzes the transcriptome, indicating which of the genes encoded in our DNA are turned on or off and to what extent.
What is an expression data?
1. The data produced by the translation of information encoded in a gene into protein or RNA structures that are present and operating in the cell. Learn more in: KD-Tree Based Clustering for Gene Expression Data. Conversion data from encoded gene to messenger RNA and then to protein.
Is FDR the same as p-value?
Another way to look at the difference is that a p-value of 0.05 implies that 5% of all tests will result in false positives. An FDR adjusted p-value (or q-value) of 0.05 implies that 5% of significant tests will result in false positives. The latter will result in fewer false positives.