Tuesday, 25 March 2014

Monocle is a R toolkit for analyzing single cell expression experiments

---------- Forwarded message ----------
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:


The Monocle source code and support site is also live:


I hope you will consider using Monocle for your single-cell expression analysis workflow!  Please report any issues on the new Monocle google group:


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.



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


Wednesday, 5 March 2014

Google Genomics -- Google Developers

https://developers.google.com/genomics/ Google genomics limited preview is out.
Been wondering when and how they might do genomics.
Now suddenly it's scarier to link all ur google accounts together. 

Maybe we will see gene association studies with different online surfing habits very soon! *chuckles*

Datanami, Woe be me