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Data analysis (storage, integration,
annotation, statistical analysis and clustering) is a
challenging task in this uncharted area of translational
genomics. Genowiz™ has the tools to tackle
the complexity.
Dr. Ashok Amin
Director Rheumatology Research Laboratory
Hospital for Joint Diseases, New York
Major Features:
Excellent visual analysis clues are
provided.
Genes are linked directly to the
literature thru GO (for DAG display) and to metabolic
pathways.
Reasonably priced.
Genowiz™
is a powerful gene expression analysis program that has been
designed to efficiently store, process and visualize gene
expression data. It includes a suite of advanced analysis methods
and offers choice for selecting analysis that is appropriate to a
researcher’s dataset. Genowiz™ provides numerous visualization
options to track down intricate correlation in microarray data.
Genowiz™ allows researchers to organize experimental
information, quickly and easily import data and image files,
preprocess, normalize, plot, perform cluster analysis, classify,
visualize patterns, review gene information, as well as link
analysis results to external tools. Features include:
Ezee import wizard to upload
all available data formats. One click upload for Genepix,
Scanalyze, Affymetrix and processed file.
Advanced Normalization
Techniques including Global, Loess, Multiple slide, Dye Swap
and normalization exclusive for the Affymetrix chips.
Data reduction based on
variability of expression, average expression, missing values,
replicates, t-test, ANOVA.
Understanding relation among
genes using Partitional clustering, Hierarchical clustering,
Self organizing maps and Principle component analysis.
Visualize results as expression
matrix, data table, MA plots, scatter graph, pie chart, line
and bar graphs.
Sort data by gene identifier,
description, average expression, variability in expression,
distance from the selected genes and biological parameters.
Search data by gene identifier,
description and other biological parameters.
Curated bio-database related to
gene information including that of protein and metabolic
pathways.
Information management as per
MIAME guidelines.
VENN diagrams to help elucidate
relationships.
Strong database support for
tracking every analysis done by the user. Available in
standalone and client server models.
Additional
Resources:
Click
here to start the download and trial process.
