Gemma 1.27.4 – Analyze Genomics data using Meta-analysis

Gemma 1.27.4

:: DESCRIPTION

Gemma is an open-source database and software system for the meta-analysis of gene expression data.

::DEVELOPER

Pavlidis lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / MacOsX
  • Web Server

:: DOWNLOAD

 Gemma

:: MORE INFORMATION

Citation

Bioinformatics. 2009 Jun 15;25(12):1543-9. Epub 2009 Apr 17.
Application and evaluation of automated semantic annotation of gene expression experiments.
French L, Lane S, Law T, Xu L, Pavlidis P.

MizBee – Multiscale Synteny Browser for Exploring Conservation Relationships in Comparative Genomics data

MizBee

:: DESCRIPTION

MizBee is a multiscale synteny browser for exploring conservation relationships in comparative genomics data. Using side-by-side linked views, MizBee enables efficient data browsing across a range of scales, from the genome to the gene.

::DEVELOPER

Miriah Meyer

:: SCREENSHOTS

MizBee

:: REQUIREMENTS

  • Windows / MacOsX / Linux
  • Java 

:: DOWNLOAD

 MizBee

:: MORE INFORMATION

Citation

IEEE Trans Vis Comput Graph. 2009 Nov-Dec;15(6):897-904. doi: 10.1109/TVCG.2009.167.
MizBee: a multiscale synteny browser.
Meyer M, Munzner T, Pfister H.

GIMM 3.8 – Gaussian Infinite Mixture Models for Cluster Analysis of Genomics Data

GIMM 3.8

:: DESCRIPTION

GIMM implements Bayesian infinite mixtures clustering procedures. The software consists of the R package gimmR and the self-standing software WinGimm.

:: DEVELOPER

Laboratory for Statistical Genomics, Univ. Cincinnati

:: SCREENSHOTS

:: REQUIREMENTS

  • Linux/MacOsX/Windows
  • R Package

:: DOWNLOAD

 GIMM

:: MORE INFORMATION

Citation:

Bioinformatics. 2006 Jul 15;22(14):1737-44. Epub 2006 May 18.
Context-specific infinite mixtures for clustering gene expression profiles across diverse microarray dataset.
Liu X, Sivaganesan S, Yeung KY, Guo J, Bumgarner RE, Medvedovic M.

BMC Bioinformatics. 2007 Aug 3;8:283.
Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data.
Liu X, Jessen WJ, Sivaganesan S, Aronow BJ, Medvedovic M.