Differentiation Map Portal (DMAP)
A differentiation map of hematopoiesis.
from the paper "Densely Interconnected Transcriptional Circuits Control Cell States in Human Hematopoiesis"
The Differentiation Map (DMAP) Portal was created by The Broad Institute of MIT and Harvard. Development of the portal was performed by the Broad Institute.
News / Events
May 20, 2013: Due to a change in some servers the DMap portal depends on the Differential Expression, GSEA and sample browsing features are currently not working. We are trying to resolve the issue as quickly as possible to bring the portal back to full capability
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New User?
Please register for full access to the data and analyses tools DMAP provides.
Terms of Access Register
Tutorials / Manuals
Tutorials, analysis descriptions and other documentation is available at:
HELP > DOCUMENTS
Publications
Densely Interconnected Transcriptional Circuits Control Cell States in Human Hematopoiesis, Noa Novershtern et al., Cell, Volume 144, Issue 2, 296-309, 2011
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What you can do on this portal
Search for information
Enter a keyword to search for genes, news items and publications. Search
results for a gene include links to annotations and analyses.
Data Sets
Browse, analyze and download
studies and data sets.
BROWSE > DATA
Analysis Tools
The portal provides the
following analysis tools:
Integrative Genomics Viewer (IGV)
Visualize a data set in the Integrative Genomics Viewer (IGV), a high-performance
visualization tool for interactive exploration of large integrated data sets.
Differential Expression Analysis
Find genes that are significantly differentially expressed between two user-defined classes
of samples from an expression data set available on this portal.
Gene co-expression
View the top 20 genes in a data set that are co-expressed with a gene of interest.
Gene Set Enrichment Analysis (GSEA)
Find pathway gene sets correlated with a gene of interest. Domain
experts curate the pathway gene sets based on data from several online pathway databases.
ANALYSIS TOOLS
Sample Sets
Create your own sample sets based on a
large number of available criteria and use them in differential expression analysis. CREATE SAMPLE SETS
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