AMOUNTAIN 1.18.0 – Active modules for multilayer weighted Gene co-expression networks

AMOUNTAIN 1.18.0

:: DESCRIPTION

AMOUNTAIN is a novel algorithm to identify active modules from multilayer weighted gene co-expression networks based on a convex optimization approach.

::DEVELOPER

Shan He Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Linux / Windows
R package / BioConductor

:: DOWNLOAD

AMOUNTAIN

:: MORE INFORMATION

Citation

Li D, Pan Z, Hu G, Anderson G, He S.
Active module identification from multilayer weighted gene co-expression networks: a continuous optimization approach.
IEEE/ACM Trans Comput Biol Bioinform. 2020 Jan 30;PP. doi: 10.1109/TCBB.2020.2970400. Epub ahead of print. PMID: 32011261.

AMBIENT 1.3 – Find Active Modules in Metabolic Networks using High-throughput data

AMBIENT 1.3

:: DESCRIPTION

AMBIENT (Active Modules for Bipartite Networks) is a Python module that uses simulated annealing to find areas of a metabolic network (modules) that have some consistent characteristic. AMBIENT does not require predefined pathways and gives highly specific predictions of affected areas of metabolism.

:DEVELOPER

The research in the Theoretical Systems Biology Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Linux / Windows/ MacOsX
Python

:: DOWNLOAD

AMBIENT

:: MORE INFORMATION

Citation:

AMBIENT: Active Modules for Bipartite Networks–using high-throughput transcriptomic data to dissect metabolic response.
Bryant WA, Sternberg MJ, Pinney JW.
BMC Syst Biol. 2013 Mar 25;7:26. doi: 10.1186/1752-0509-7-26.