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News
May 1
Our paper Reliable detection of subclonal
single-nucleotide variants in tumor cell populations appeared in Nature Communications today (see also ETH Life). In this work, we present the deepSNV algorithm and demonstrate its capability to detect subclonal mutations present in only 1/10,000 cells.
Gerstung et al. (2012) Nat Commun 3:811. DOI: 10.1038/ncomms1814.
Mutagenetic tree hidden Markov models
0.1.01 Jul 2006
MtreeHMM is a Perl program that implements the Expectation Maximization algorithm described in (Beerenwinkel & Drton, 2007) for estimating the parameters of the mutagenetic tree hidden Markov model from longitudinal clonal sequence data.
MtreeHMM is distributed under the GNU General Public License.
In order to run MtreeHMM you need, besides the Perl interpreter, the Perl module 'Amoeba.pm' available at CPAN. At the beginning of the PERL script, change the line
use lib "$ENV{HOME}/perllib";
to point to the directory that contains 'Math/Amoeba.pm' (here '~/perllib').
The input data needs to be specified in four different files that share the same filestem:
filestem.model - Mutagenetic tree model, adjacency matrix
filestem.pat - List of binary mutational patterns (clones)
filestem.patient - List of patients
filestem.week - List of time points
The '.model' and '.pat' files are the same as in the Mtreemix package. You may use Mtreemix to estimate the tree structure ('.model' file) from the observed mutational patterns ('.pat' file).
After download and unpacking, type 'mtreehmm.pl -h' for detailed usage instructions. The download package includes a small test dataset named toy, from which the file formats become apparent.
The HIV data set analyzed in (Beerenwinkel & Drton, 2007) is also included.
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