From: Cole Trapnell <cole cs.umd.edu>
Date: Mon, Mar 24, 2014 at 11:51 PM
Subject: [Bowtie-bio-announce] Monocle 0.99.0
To: bowtie-bio-announce lists.sourceforge.net
I am proud to announce the first release of the Monocle analysis toolkit for single-cell RNA-Seq and qPCR. Monocle performs differential expression and time series analysis for single-cell expression experiments. You can read about Monocle and its “pseudo time” analysis of biological processes in the paper, which just appeared on Nature Biotech’s AOP list:
http://www.nature.com/nbt/journal/vaop/ncurrent/full/nbt.2859.html
The Monocle source code and support site is also live:
http://monocle-bio.sourceforge.net/index.html
I hope you will consider using Monocle for your single-cell expression analysis workflow! Please report any issues on the new Monocle google group:
https://groups.google.com/forum/#!forum/monocle-users
Note that Monocle is currently considered an ALPHA release - new features and interfaces changes will be coming in future releases, along with significant new functionality. The release announcement for Monocle v 0.99.0 is below.
Best,
Cole
0.99.0 release - 3/23/2014
The first public release of Monocle is now available for download. Monocle is a toolkit for analyzing single cell expression experiments. It runs on the R statistical computing platform.
Monocle takes as input a matrix of gene or transcript expression values, along with information about each cell in the experiment, and some annotation about each gene/transcript, both provided as simple tables. It is designed for single-cell RNA-Seq experiments, but in principle Monocle can be used with other data types such as qPCR. For RNA-Seq, you can useCufflinks to estimate your expression values.
This software is a work in progress - it is a beta release, and new features will continue to be added over the next couple of weeks. To suggest a feature or report a bug, please post your comments on the Monocle user's group.
Cole Trapnell
