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GMD: measuring the distance between histograms with applications on high-throughput sequencing reads
Author(s) -
Xiaobei Zhao,
Albin Sandelin
Publication year - 2012
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bts087
Subject(s) - throughput , computer science , histogram , dna sequencing , computational biology , artificial intelligence , biology , genetics , dna , telecommunications , image (mathematics) , wireless
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.

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