SNOMAD - Standardization
and NOrmalization of MicroArray Data
The SNOMAD gene expression data
analysis tools were developed by Carlo Colantuoni and George W. Henry
in the laboratory of Jonathan
Pevsner (Johns Hopkins School of Medicine, Department of Neuroscience
and Kennedy Krieger Research Institute, Department of Neurology) and Scott
Zeger (Johns Hopkins School of Public Health).
SNOMAD is Copyrighted (C) 2000 by Carlo Colantuoni, George Henry, Jonathan
Pevsner and is distributed under the terms of the GNU
General Public License and comes with ABSOLUTELY NO WARRANTY. This
is free software, and you are welcome to redistribute it under certain
conditions: see details.
SNOMAD consists of a collection
of algorithms directed at the normalization and standardization of DNA
microarray data. The majority of the transformations within SNOMAD are
directed at the refinement of paired microarray data. That is, two sets
of element signal intensities generated in two individual hybridizations
using a one-channel microarray technology (e.g radioactivity-based systems),
or two sets of intensities generated in a single two-channel fluorescent
experiment (two-color, simulataneous hybridization). The freely available
R-statistical language was used
to develop the SNOMAD tools. This page will allow you to apply any of
the SNOMAD transformations to your own array data, without any programming
expertise or downloading of additional software. Using the interface below,
you may select any number of the SNOMAD transformations to be perform
on an example dataset or your own microarray dataset. The YELLOW
regions of this page highlight where your input is needed.