Ads
related to: rna seq data interpretation
Search results
Results From The WOW.Com Content Network
The main advantage of RNA-Seq data in this kind of analysis over the microarray platforms is the capability to cover the entire transcriptome, therefore allowing the possibility to unravel more complete representations of the gene regulatory networks.
queryable-rna-seq-database Formally known as the Queryable RNA-Seq Database, this system is designed to simplify the process of RNA-seq analysis by providing the ability upload the result data from RNA-Seq analysis into a database, store it, and query it in many different ways.
DESeq2 is a software package in the field of bioinformatics and computational biology for the statistical programming language R.It is primarily employed for the analysis of high-throughput RNA sequencing (RNA-seq) data to identify differentially expressed genes between different experimental conditions.
The development of high-throughput RNA sequencing (RNA-seq) and microarrays has made gene expression analysis a routine. RNA analysis was previously limited to tracing individual transcripts by Northern blots or quantitative PCR. Higher throughput and speed allow researchers to frequently characterize the expression profiles of populations of ...
Data analysis usually requires a combination of bioinformatics software tools (see also List of RNA-Seq bioinformatics tools) that vary according to the experimental design and goals. The process can be broken down into four stages: quality control, alignment, quantification, and differential expression. [ 105 ]
Open access standard arrays, exons arrays, and RNA-seq data for genetic analysis (eQTL studies) with analysis suite ~100 ~10000: July, 2010 UNC modENCODE Microarray database: Nimblegen customer 2.1 million array ~6: 180: July 17, 2009 UPSC-BASE: data generated by microarray analysis within Umeå Plant Science Centre (UPSC). ~100? November 15, 2007