Related Experiment Video
Updated: Jan 30, 2026
JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
METACLUSTER-an R package for context-specific expression analysis of metabolic gene clusters
Michael Banf1,2, Kangmei Zhao1, Seung Y Rhee1
1Department of Plant Biology, Carnegie Institution for Science, Stanford, CA, USA.
Summary:
Plants and microbes produce numerous compounds to cope with their environments but the biosynthetic pathways for most of these compounds have yet to be elucidated. Some biosynthetic pathways are encoded by enzymes collocated in the chromosome. To facilitate a more comprehensive condition and tissue-specific expression analysis of metabolic gene clusters, we developed METACLUSTER, a probabilistic framework for characterizing metabolic gene clusters using context-specific gene expression information.
Availability And Implementation:
METACLUSTER is freely available at https://github.com/mbanf/METACLUSTER.
Supplementary Information:
Supplementary data are available at Bioinformatics online.
Related Concept Videos
01:58Cell Specific Gene Expression
01:58Cell Specific Gene Expression
02:35Chromatin Position Affects Gene Expression
Topologically Associated Domains (TADs)
The 3-dimensional positioning of chromatin in the nucleus influences the...
01:42What is Gene Expression?
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...
01:36What is Gene Expression?
02:51mRNA Stability and Gene Expression
Cis-acting Elements involved in mRNA stability