2010/12/23 by Geir K. Sandve, Geir K Sandve, Sveinung Gundersen +13 · 79 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Algorithms and Data Compression #Computational genomics #Flexibility (engineering) #Fractal and DNA sequence analysis #Functional genomics #Genome Rearrangement Algorithms #Genomics #Human genetics #Inference #Pairwise comparison #Sequence (biology) #q-bio.GN
paper · pdf · doi:10.1186/gb-2010-11-12-r121
published in Genome biology 11(12), R121 (BioMed Central)
openalex publication_date 2010/12/23 · arxiv created 2011/01/25 · arxiv updated 2011/01/26 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05
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.