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The Genomic HyperBrowser: inferential genomics at the sequence level.

Genome biology | Mar 2, 2010

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

Pubmed ID: 21182759 RIS Download

Mesh terms: Base Pairing | Computational Biology | Exons | Gene Expression | Genome | Genomics | Histones | Models, Biological | Nucleic Acid Denaturation | Polymorphism, Single Nucleotide | Sequence Analysis | Software