Provided by: chromimpute_1.0.3+dfsg-1_all
ChromImpute - Large-scale systematic epigenome imputation
java -Xmx[GB]g -jar /usr/share/java/chromimpute.jar [options]
ChromImpute is software for large-scale systematic epigenome imputation. ChromImpute takes an existing compendium of epigenomic data and uses it to predict signal tracks for mark-sample combinations not experimentally mapped or to generate a potentially more robust version of data sets that have been mapped experimentally. ChromImpute bases its predictions on features from signal tracks of other marks that have been mapped in the target sample and the target mark in other samples with these features combined using an ensemble of regression trees.
Convert Converts signal tracks into binned signal resolution tracks. ComputeGlobalDist Computes the global distance based on correlation for each mark in each sample with the same mark in all other samples. Creates a file for each mark in each sample containing a ranked list of the globally nearest samples. GenerateTrainData This command takes a directory of converted data and global distances and generates a set of training data instances. Train This command trains regression trees based on the feature data produced by GenerateTrainData. Apply This command applies the predictors generated in the Train command to generate the imputed data. Eval Compares the agreement between an observed and imputed data set. Version Give the version of ChromImpute.
ChromImpute was written by Jason Ernst.