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
Jan 1, 2016: DMAP Terms Of Access: This dataset has been made available to the general
community free of charge with no restrictions on use.
Jun 8, 2015: The DMAP portal will be unavailable Sunday June 14th 12 noon through Monday June 15th, 12 noon for maintenance.
Mar 11, 2015: The DMAP portal will be unavailable on Tuesday 3/24/2015 for scheduled maintenance.
Jun 3, 2014: The portal will be unavailable Friday June 6th from 10 AM through 1 PM EST for maintenance.
Sep 18, 2013: The portal will be unavailable from Thursday October 17 through Sunday October 20th for server maintenance.
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
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
Densely Interconnected Transcriptional Circuits Control Cell States in Human Hematopoiesis, Noa Novershtern et al., Cell, Volume 144, Issue 2, 296-309, 2011
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.
Browse, analyze and download
studies and data sets.
BROWSE > DATA
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.
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.
Create your own sample sets based on a
large number of available criteria and use them in differential expression analysis.
CREATE SAMPLE SETS