Multiple Myeloma Genomics Portal (MMGP)

The Multiple Myeloma Genomics Portal is a part of the Multiple Myeloma Genomics Initiative, a collaboration of The Multiple Myeloma Research Consortium, The Broad Institute of MIT and Harvard, and the Translational Genomics Research Institute (TGen). Funding is provided by the Multiple Myeloma Research Foundation. Development of the portal and data curation was performed by the portal team of the Broad Institute and Dana Farber Cancer Center.


The Multiple Myeloma Genomics Portal (MMGP) has been made available to provide access to and limited analysis of the MMGP portal data sets. These include the MMRC funded reference aCGH and gene expression data and additional public multiple myeloma datasets. The MMGP will be updated with new features such as additional data and analysis tools as they become available.


News / Events

Mar 13, 2014: Survival data (updated yearly) for the patients in the MMRC reference collection is now available upon request. Please contact us if you would like to have access. 

Jan 28, 2014: We have investigated the mutational spectrum and copy number profile of 203 patients with MM and other plasma cell dyscrasias, by whole genome sequencing, whole exome sequencing and high density SNP array profiling. We have determined the mutations that are most likely â??driverâ?? events, and we have determined the cancer cell fraction in which these mutations occur. For a complete listing of the available data and analyses performed, please refer to Widespread Genetic Heterogeneity in Multiple Myeloma: Implications for Targeted Therapy  more...

Sep 24, 2013: The MMGP can now upload data directly to GenomeSpace. To learn more, see the GenomeSpace blog  more...

Sep 18, 2013: The portal will be unavailable from Thursday October 17 through Sunday October 20th for server maintenance.  

Sep 16, 2013: 5 additional publications have been added to the curated list of significant Multiple Myeloma publications  

Aug 7, 2013: We have added 15 additional publications to the curated list of significant Multiple Myeloma publications 

May 20, 2013: The server issues have been resolved. Differential expression, GSEA and sample browsing are once again working normally 

New User?

Please register for full access to the data and analyses tools MMGP provides.


Terms of Access   Register

Tutorials / Manuals

Tutorials, analysis descriptions and other documentation is available at:
HELP > DOCUMENTS

Frequently Altered Genes

Tag clouds summarizing genes frequently altered in the datasets of this portal are available in the
Mutation tag cloud

Publications

New drugs and novel mechanisms of action in multiple myeloma in 2013: a report from the International Myeloma Working Group (IMWG).,  Ocio EM et al., Leukemia. 2014 Mar;28(3):525-42. doi: 1, 2014

Heterogeneity of genomic evolution and mutational profiles in multiple myeloma.,  Bolli N et al., Nat Commun. 2014;5:2997. doi: 10.1038/ncomms3997., 2014

DNA methylation analysis determines the high frequency of genic hypomethylation and low frequency of hypermethylation events in plasma cell tumors.,  Salhia B et al., Cancer Res. 2010 Sep 1;70(17):6934-44. doi: 10.1158/0008-5472.CAN-10-0282., 2010

All Publications

Complementary Resources

The Cancer Therapeutic Response Portal provides profiles of the impact of a small-molecule collection of 185 compounds on a panel of 242 cancer cell lines

The Cancer Cell Line Encyclopedia provides public access to genomic data, analysis and visualization for about 1000 cell lines.

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