The Genomic HyperBrowser: inferential genomics at the sequence level

TL;DR

The paper introduces the Genomic HyperBrowser, a flexible statistical framework for analyzing pairwise relationships in large-scale genomic sequence data, addressing a key analytical challenge in genomics.

Contribution

It presents a novel, principled methodology and a software tool for inferential genomics at the sequence level, filling a gap in existing analytical approaches.

Findings

Provides a collection of biological investigation queries

Enables statistical testing of pairwise track relations

Available as an accessible online tool

Abstract

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 http://hyperbrowser.uio.no.