MeV v4.1 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.

The latest release of MeV expands MeV's support for annotation data by allowing users to auto-load annotation for Affymetrix array platforms, using a direct connection to the Resourcerer Annotation database. Also included is a new Comparative Genomic Hybridization visualization and analysis module called Charm.

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.