Gene Expression Modulators (GEM) download

GEM is a computational method for identification of transcription factor modulators, using expression datasets. The method tests if the correlation between factor and target gene depends on the expression of the modulator.

Project Activity

See All Activity >

Follow Gene Expression Modulators (GEM)

Gene Expression Modulators (GEM) Web Site

Other Useful Business Software

Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.

Try Free

Rate This Project

User Reviews

Be the first to post a review of Gene Expression Modulators (GEM)!

Additional Project Details

Intended Audience

Healthcare Industry, Science/Research

Programming Language

Java

Related Categories

Java Bio-Informatics Software

Registered

2010-01-01

Similar Business Software

Geneious

Geneious Prime makes bioinformatics accessible by transforming raw data into visualizations that make sequence analysis intuitive and user-friendly. Simple sequence assembly and easy editing of contigs. Automatic annotation for gene prediction, motifs, translation, and variant calling. Genotype...

See Software
OmnibusX

In the world of biological data science, navigating vast and complex datasets can be a daunting task. Our software toolkit is designed to empower you by accelerating analysis, promoting accessibility, and providing comprehensive visualization tools to help you make sense of these intricate...

See Software
OmicsBox

OmicsBox is a leading bioinformatics solution that offers end-to-end data analysis of genomes, transcriptomes, metagenomes, and genetic variation studies. The application is used by top private and public research institutions worldwide and allows researchers to easily process large and complex...

See Software
SnapGene

Accurately design and simulate cloning procedures. Test complicated projects, catch errors before they happen, and obtain the right constructs the first time. Cloning is easier when you can see what you are doing. The intuitive interface offers you unparalleled visibility into your work,...

See Software
Cufflinks

Cufflinks assemble transcripts, estimate their abundances and test for differential expression and regulation in RNA-Seq samples. It accepts aligned RNA-Seq reads and assembles the alignments into a parsimonious set of transcripts. Cufflinks then estimates the relative abundances of these...

See Software
MEGA

MEGA (Molecular Evolutionary Genetics Analysis) is a powerful and user-friendly software suite designed for analyzing DNA and protein sequence data from species and populations. It facilitates both automatic and manual sequence alignment, phylogenetic tree inference, and evolutionary hypothesis...

See Software