The CellOrganizer project provides tools for :learning generative models of cell organization directly from images/ storing and retrieving those models in XML files/ synthesizing cell images (or other representations) from one or more models
ARTO (Analysis of Replication Timing and Organization) uses signal processing methods to fit a constant piece-wise linear curve to the measured raw data. The software takes raw time of replication (ToR) measurement signals as input and outputs for each genomic location an estimate of its ToR and an association to CTR (constant ToR region) or TTR (Temporal Transition Region).
The SIMBA yeast site allows interactive exploration of a large scale compendium of data from diverse high throughput experiments. You can explore the behavior of your favorite gene or sets of genes, compare the activity of various functional modules in different experimental conditions or test the relations between gene expression programs, protein interactions and transcription factor binding profiles.
SpotLink is the tool for organizing proteomics raw data. The data includes 2D gel images, Mass Spectrometry (MS and MS/MS), protein expression profiles and etc.. The data is collected after a series of proteomics experiment and categorized by individual spot on gel.