GAC is an open-source framework and toolkit for management and analysis of genome wide copy number data. It provides a set of standard matrices that are symultaneously manipulated by various functions to maintain syncronized bin, gene, annotation, and qc information from a single-cell DNA sequencing experiment as same-cell G+T. Efforts will be made to add support for log-ratios for the analysis of bulk DNA data.
GAC is actively being developed and is currently in ALPHA pre-release. My hope is that others will find this helpful for their copy number needs, and share new methods.
The HeatmapCNR function in GAC implements Bray-Curtis disimilarity on ComplexHeatmap as the default method to estimate cell-cell distances and generate the heatmaps.
Rodrigo Gularte Merida email@example.com
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