What is differential coexpression analysis?

What is differential coexpression analysis?

Differential co-expression analysis studies diseases and phenotypic variations by finding modules of genes whose co-expression patterns vary across conditions.

How is gene coexpression measured?

Gene expression measurement is usually achieved by quantifying levels of the gene product, which is often a protein. Two common techniques used for protein quantification include Western blotting and enzyme-linked immunosorbent assay or ELISA.

What is gene network analysis?

Gene network inference is the task of reconstructing regulatory networks among genes from high-throughput (in particular transcriptomic) data. These synthetic data are then analyzed with basic gene network inference methods based on information theory and correlation analysis.

What is differential network analysis?

A differential network analysis is considered when gene expression samples are collected from two distinct populations or “groups”. The analysis compares the set of inter-connections of genes between the groups. Additionally, the existence of gene pathways is assumed.

Why is differential gene expression important?

Differential gene expression is important to understand the biological differences between healthy and diseased states. Two common sources of differential gene expression data are microarray studies and the biomedical literature.

How do you Analyse gene expression data?

Most of these techniques, including microarray analysis and reverse transcription polymerase chain reaction (RT-PCR), work by measuring mRNA levels. However, researchers can also analyze gene expression by directly measuring protein levels with a technique known as a Western blot.

What is est in bio?

In genetics, an expressed sequence tag (EST) is a short sub-sequence of a cDNA sequence. ESTs may be used to identify gene transcripts, and were instrumental in gene discovery and in gene-sequence determination. The cDNAs used for EST generation are typically individual clones from a cDNA library.

What is network analysis in RNA-seq?

Cytoscape is an open source software platform for integrating, visualizing, and analyzing measurement data in the context of networks. This protocol describes a network analysis workflow in Cytoscape for differentially expressed genes from an RNA-Seq experiment.

What is pathway analysis in bioinformatics?

In bioinformatics, methods of pathway analysis might be used to identify key genes/ proteins within a previously known pathway in relation to a particular experiment / pathological condition or building a pathway de novo from proteins that have been identified as key affected elements. …