title: GMD: measuring the distance between histograms with applications on high-throughput sequencing reads.
abstract: 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.
  
  
  BACKGROUND
  The R package GMD source code is available at http://cran.r-project.org/web/packages/GMD/ under GPL license.
authors.affiliation: Bioinformatics Centre, Department of Biology and Biotech Research and Innovation Centre, Copenhagen University, Copenhagen, Denmark. xiaobei@binf.ku.dk
authors.forename: Xiaobei
authors.initials: X
authors.lastname: Zhao
authors.forename: Albin
authors.initials: A
authors.lastname: Sandelin
mesh_terms: D047369:Chromatin Immunoprecipitation / Q000379:methods; D059014:High-Throughput Nucleotide Sequencing; D042421:Histone Code; D006657:Histones / Q000378:metabolism; D017422:Sequence Analysis, DNA; D017423:Sequence Analysis, RNA; D012984:Software; D024363:Transcription Initiation Site
chemical_list: D006657:Histones