The Genomic HyperBrowser: inferential genomics at the sequence level

Genome Biol. 2010;11(12):R121. doi: 10.1186/gb-2010-11-12-r121. Epub 2010 Dec 23.


The immense increase in the generation of genomic scale data poses an unmet analytical challenge, due to a lack of established methodology with the required flexibility and power. We propose a first principled approach to statistical analysis of sequence-level genomic information. We provide a growing collection of generic biological investigations that query pairwise relations between tracks, represented as mathematical objects, along the genome. The Genomic HyperBrowser implements the approach and is available at

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Base Pairing
  • Computational Biology / methods*
  • Exons
  • Gene Expression
  • Genome*
  • Genomics / methods*
  • Histones / metabolism
  • Models, Biological
  • Nucleic Acid Denaturation
  • Polymorphism, Single Nucleotide
  • Sequence Analysis / methods*
  • Software*


  • Histones