GMD: Measuring the distance between histograms with applications on high-throughput sequencing reads

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Abstract

Summary: GMD (generalized minimum distance of distributions) is an R package to assess the similarity between spatial distributions of read-based sequencing data such as ChIP-seq and RNA-seq. GMD calculates the optimal distance between pairs of normalized signal distributions, optionally sliding one distribution over the other to 'align' the distributions. GMD also provides graphical and downstream clustering tools. © The Author 2012. Published by Oxford University Press. All rights reserved.

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Zhao, X., & Sandelin, A. (2012). GMD: Measuring the distance between histograms with applications on high-throughput sequencing reads. Bioinformatics, 28(8), 1164–1165. https://doi.org/10.1093/bioinformatics/bts087

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