Search the MeV websiteFunding for the MeV ProjectThe MeV project is currently funded by
The National Library of Medicine The Dana-Farber Cancer Institute High Tech Fund The Claudia Adams Barr Program
Citing MeVMeV is part of the TM4 Microarray Software Suite. Please reference MeV by citing
Saeed AI, Bhagabati NK, Braisted JC, Liang W, Sharov V, Howe EA, et al. TM4 microarray software suite.
. Methods in Enzymology. 2006;411:134-93. Abstract
Saeed AI, Sharov V, White J, Li J, Liang W, Bhagabati N, et al. TM4: a free, open-source system for microarray data management and analysis.
. Vol 34.; 2003.
|
MeV v4.6.1 is releasedMeV v4.6.1 contains a several fixes for important MeV components. See the release notes for details.
Letter from John Quackenbush: We need your support!Friends,
MeV v4.6 contains many new features.MeV v4.6 contains a large number of new modules, including Global Ancova, Survival Analysis, Mutual Information Networks (Minet), and a novel algorithm known as Attract. Also included are many updates to popular modules such as SAM, GSEA, BN and EASE. See the full Release Notes for a complete list of all improvements.
A new MeV publicationMeV has been featured in a chapter of the book Biomedical Informatics for Cancer Research, published by Springer Publishing. The chapter is aptly called MeV: MultiExperiment Viewer. In it, we describe the features of MeV, overview how the software is used and highlight several of MeV's analysis tools.
Howe E, Holton K, Nair S, Schlauch D, Sinha R, Quackenbush J: MeV: MultiExperiment Viewer. In Biomedical Informatics for Cancer Research. 2010:267-277. The book is available at Amazon.
MeV v4.5.1 is releasedThis bugfix release addresses several issues reported by our users. The MeV team recommends that all MeV users upgrade to this release.
Fixes in v4.5.1
MeV and RAs of v4.5, MeV for Mac OS requires R v2.9, and will not function properly if another version is installed. This means that any MeV for Mac users that have installed R v2.10 will find that MEV is unable to run the LIMMA module, as it depends on R. When version 2.10.1 of R is released (currently scheduled for Decepber 14th by the R project) we will be assembling a version of MeV that will work with R v2.10. We will also be providing an upgrade script that will allow previous installations of MeV to work with R v2.10.x.
MeV v4.5 is releasedThe MeV development team is proud to announce that MeV v4.5 is now available for download. This release includes many new features and improvements to several existing systems, including state-saving and the annotation model.
R project: an under-the-hood improvement that allows MeV to use pre-built R libraries New module: Linear Models for Microarray Data (LIMMA) New module: Non-Negative Matrix Factorization (NMF) A re-write of the GSEA module A new feature in the EASE module, Nested EASE Venn diagram displays of gene cluster membership Many bugfixes and minor enhancements
Features
Gaggle Metadata Settings Used by MeVMeV is capable of sending and receiving expression and annotation data within the Gaggle framework of bioinformatics applications. As of v4.5, MeV will broadcast certain pre-defined metadata tags in addition to the matrix, namelist and network data. It will also look for these tags when receiving broadcasts.
Example Data FilesMeV is capable of loading genomic data from many different types of files. Affymetrix, Agilent, Illumina, GenePix and others are availble. MeV also supports several platform-independent file formats such as TDMS, MAGE-TAB and GEO.
|
Getting Started with MeVCheck out the Quickstart Guide |