News

12/01/08
MeV v4.3 is available for download

MeV v4.3 includes new modules like Gene Set Enrichment Analysis (GSEA), Bayesian Estimation of Temporal Regulation (BETR), and Rank Products Analysis (RP). The new Resource Manager makes keeping track of downloaded support files even easier.

10/10/08
TM4.org Forums are now up

Use the new TM4 Forums to direct questions about MeV, MIDAS, MADAM and Spotfinder to our growing user base.

09/30/08
MeV v4.2.02 is available for download

The latest bugfix release, featuring better save dialogues and updated Cytoscape launching, is available at
http://mev.tm4.org/.

08/21/08
MeV v4.2.01 is available for download

The latest bugfix release of MeV is available at
http://mev.tm4.org/.

08/01/08
MeV v4.2 is available for download

The MeV development team is proud to announce the release of MeV v4.2. This release adds some useful new analysis tools and some wonderful improvements to the user interface. You can download this latest version at http://mev.tm4.org/.

MeV v4.3 is now available for download

Multiexperiment Viewer is a versatile microarray data analysis tool, incorporating sophisticated algorithms for clustering, visualization, classification, statistical analysis and biological theme discovery. Analyze gene expression or CGH microarray data and with MeV's many clustering, statistical analysis and graphical display tools. MeV generates informative and interrelated displays of expression and annotation data from single or multiple experiments.

RESOURCERER

RESOURCERER is a microarray-resource annotation and cross-reference database built using the analysis of expressed sequence tags (ESTs) and gene sequences provided by our Gene Indices (TGI) and Eukaryotic Gene Orthologues (EGO) databases. Researchers using mouse microarrays to profile animal tumors can search the database for microarrays that contain human versions of the mouse genes on their chip. They can then search the scientific literature for potentially relevant studies done with the human microarrays that correspond to the mouse chips.

GCOD

GeneChip Oncology Database is a collection of publicly available microarray gene expression data on Affymetrix GeneChip arrays related to human cancers. You can search the experiments in the collection, perform statistical analysis, and download processed data or to query gene expression profiles.

AMP v1.2 Released

The latest version of the Automated Microarray Processor v1.2 is released at http://compbio.dfci.harvard.edu/amp. You can create and account and log in to upload Affymetrix cel files for normalization. AMP can perform RMA, GCRMA, MAS5.0/GCOS, and dChip normalizations which can then be downloaded for analysis. Multiexperiment Viewer is the recommended analysis tool for viewing and manipulating your normalized data. AMP can also generate quality control images for you as well. Perform RLE and NUSE calculations and view weights and residuals as well as boxplots and histograms of your data.

Who Are We?

Genomics has revolutionized biology, but not in the ways that many of us initially envisioned. While the reference genome sequences and the catalogues of genes that genome projects have provided are useful starting points for understanding the basis for development and disease, the tools and technology spawned by the genome project have had a far greater impact. Our group focuses on the application of functional genomics techniques – including microarrays, proteomics, metabolomics, and other high-throughput approaches – and the development of computational approaches in support of these studies to develop a comprehensive view of human diseases including cancer. Our goal is to develop software, databases, and bioinformatics techniques that will allow the development of new diagnostics and a more complete understanding of the cellular networks that are mechanistically responsible for diseases. Our commitment is to make those tools widely and freely available to the research community to enable research beyond our own.