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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom