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Geospiza Data Center
The GeneSifter Data Center provides the research community access to microarray datasets from various fields through the GeneSifter microarray data analysis system. The Data Center includes selected public datasets as well as datasets submitted by current GeneSifter customers.

Recent News
If you are looking for the data sets that accompany our September article in Current Protocols in Bioinformatics:

“Analyzing Gene Expression Data from Microarray and Next-Generation DNA Sequencing Transcriptome Profiling Assays Using GeneSifter Analysis Edition” Authors: Sandra Porter, N. Eric Olson, and Todd Smith
Current Protocols in Bioinformatics 7.14.1-7.14.34, September 2009

You may find the data sets and analyze them here:

1. Go to http://login.genesifter.net

2. Log in with the user name: digital_biology and the password: digital

Training Resource
The Data Center can help you develop your analysis skills. GeneSifter provides an accessible set of microarray analysis tools to explore these datasets. Tutorials assist in reproducing published results, serve as a guide in looking for noteworthy results and prepare you to examine the data on your own.

Research Resource
These datasets can be combined with a user's own data to perform a meta-analysis, providing greater statistical power and insight. With new statistical methods and updated annotation, previously overlooked patterns can be discovered. Bringing new biological questions and knowledge to the analysis of a dataset can lead new discoveries.

Geospiza Provides Data Sets for the following Research Areas:

CANCER
Gene expression changes provide tremendous insight into the genetic alterations underlying cancer development and progression. Elucidating genes and pathways will not only define the underlying biology of cancer, but also assist in the subclassification of tumors, provide new targets for early diagnosis and suggest treatments.

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NEUROSCIENCE
Application of microarray studies in neuroscience provides new ways to examine neurological functions. From studying the differences in gene expression changes between the large and small neurons in the dorsal root ganglia, to identifying the molecular underpinnings of phototransduction to identifying gene expression affected by multiple sclerosis, microarray experiments provide a novel technique to explore the field of neuroscience.

Select a dataset from the list below to access the data and view analysis summaries and tutorials.

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CARDIOVASCULAR
From embryonic heart development, vascular cell signaling, vascular functions within various organs, angiogenesis to a wide variety of cardiovascular diseases and therapies, microarray analysis serves as an invaluable tool to elucidate the gene expression changes within areas of cardiovascular biology.

Select a dataset from the list below to access the data and view analysis summaries and tutorials.

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IMMUNOLOGY
Gene expression profiling is elucidating the molecular mechanisms driving the immune system function. Studies of the gene expression changes within normal immune response and development assist in understanding the gene expression changes that occur in autoimmunity, immune deficiencies and immune system cancers.

Select a dataset from the list below to access the data and view analysis summaries and tutorials.

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ENDOCRINOLOGY
Select a dataset from the list below to access the data and view analysis summaries and tutorials.

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ORAL BIOLOGY
Oral Biology, the study of oral and craniofacial tissues in health and disease, overlaps the basic medical sciences and clinical dental sciences. Transcriptome wide analysis using microarrays provides tremendous opportunities to enhance our understanding of the development and pathogenesis of diseases of oral and craniofacial tissues.

Select a dataset from the list below to access the data and view analysis summaries and tutorials.

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HEMATOLOGY
Select a dataset from the list below to access the data and view analysis summaries and tutorials.

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