Panache is a web-based interface designed for the visualization of linearized pangenomes. It can be used to show presence/absence information of pangenomic blocks of sequence or genes in a browser-like display.
GREAM allows to analyze the distribution of repeat elements in the gene neighborhood region of seventeen mammalian species (such as Human, Mouse, Rat, Dog, Monkey, Gorilla, Gibbon, Cow, Marmoset, Opposum, Platypus, Elephant, Orangutan, Rabbit, Horse, Pig and Chimpanzee).
Sadic/ProCoCoA is able to calculate the atom depth value for every atom of a protein structure, giving a lot of intrinsic information of 3D composition of the macromolecule and its core.
Gelapp is an app that allows you to analyze gel (both agarose and PAGE) bands with a log graph automatically generated from the markers. It allows automatic detection and loading for future uses. Utilizing Gabor filter, this app allows users to improve detection of bands automatically. For poor quality images, users can click can manually draw a box on the desired band or click on the image to determine the specified location.
GenPlay is an analyzer and browser for high-throughput data . GenPlay recognizes a wide variety of common genomic data formats from microarray- or sequencing-based platforms and offers a library of operations (normalization, binning, smoothing) to process raw data into visualizable tracks.
GAAS (Gene Array Analyzer Software) is an integrated software framework for efficient management, analysis and visualization of large amounts of gene expression data across replicated experiments. It is structured in management, analysis and visualization sections that allow dealing with several gene expression dataset formats, custom differential expression data analyses, suitable visualization, and storage of results.
The software performs pre-processing of gene expression data transforming any input data structure in MS-Excel format into a built-in database-based data structure in MS-Access format, perform fast differential gene expression analyses across multiple replica experiments.
GAAS is designed for a multi-user environment, enabling each user to store its own parameter values used to perform the analyses, and define data visualization schema and format of the output data.