Gene Quantification


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Disease Gene Profiler  v.1.0.2

Disease Gene Profiler (DGP) comprises of a set of (bioinformatics) tools that can be used to identify the genes underlying susceptibility to common multifactorial diseases (such as diabetes, asthma and cancer) using freely available datasources.

Entrez Gene Parser in Perl  v.1.09

Perl Entrez Gene Parser project provides Perl parsers for NCBI's Entrez Gene based on regular expression, Parse::RecDescent, Parse::Yapp and Perl-byacc.





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Gene Ontology  v.1.0

The home of the Gene Ontology project on SourceForge, including ontology requests, software downloads, bug trackers, and much, much more.

Live gene manipulation system (LiveGMS)  v.20120104

LiveGMS is a PHP/MySQL driven gene editor for the game Creatures 3 / Docking Station.

Gene-Disease Discovery  v.1.0

Interpret complex experiments with this tool.

CellDesigner  v.4.1.0.6

CellDesigner is a structured diagram editor for drawing gene-regulatory and biochemical networks.

Partek Express  v.1 1

Partek Express is a streamlined, easy to use software analysis tool designed for scientists who are new to gene expression analysis. . The software supports complex experimental designs with multiple experimental variables including paired designs..

COAL  v.1.0

COAL is a software for computing gene tree probabilities and simulating gene trees in species trees under the coalescent model. A tool for computing gene tree probabilities.

LeMoNe  v.2.5.1

Gene expression data analysis made easy. LeMoNe is for Learning Module Networks from gene expression data. The purpose of the LeMoNe program package is to create a module network from expression data. The end result is a set of gene clusters

MeV for Mac OS X 4.6.2 r2536  v.2536

MeV or Multiple Experiment Viewer is a Java tool to help you with microarray gene expression data analysis.

MeV 4.6.2 r2536  v.2536

MeV or Multiple Experiment Viewer is a Java tool to help you with microarray gene expression data analysis.

GCK  v.2.5.13

Gene Construction KitO brings intuitive productivity to the molecular biology researcher's MAC, allowing effortless manipulation of DNA - either graphically or as sequence text.

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