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Project Description

DGEclust is a program for clustering and differential expression analysis of digital expression data generated by next-generation sequencing assays, such as RNA-seq, CAGE and others. It takes as input a table of count data and it estimates the number and parameters of the clusters supported by the data. At a later stage, these can be used for identifying differentially expressed genes and for gene- and sample-wise clustering of the original data matrix. Internally, DGEclust uses a Hierarchical Dirichlet Process Mixture Model for modeling over-dispersed count data, combined with a blocked Gibbs sampler for efficient Bayesian learning.

This program is part of the software collection of the [Computational Genomics Group](http://bioinformatics.bris.ac.uk/) at the University of Bristol and it is under continuous development. You can find more technical details on the statistical methodologies used in this software in the following papers:

  1. http://www.genomebiology.com/2015/16/1/39 (Vavoulis et al., Genome Biology 16:39, 2014)
  2. http://arxiv.org/abs/1301.4144 (Vavoulis & Gough, J Comput Sci Syst Biol 7:001-009, 2013)

For more information, including bug reports, send an email to <Dimitris.Vavoulis@ndcls.ox.ac.uk> or <Julian.Gough@bristol.ac.uk>

Enjoy!

Release History

Release History

15.6.7

This version

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TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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15.1.29

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Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
DGEclust-15.6.7.tar.gz (10.9 kB) Copy SHA256 Checksum SHA256 Source Jun 7, 2015

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