activity
20042022
most citedHi-C-constrained physical models of human chromosomes recover functionally-related properties of genome organization

89 citations · 209 across the 7 of their papers we have counts for

collaborators

7 papers

q-bio.GN2022★ 2 cited

COGEDAP: A COmprehensive GEnomic Data Analysis Platform

Bayram Cevdet Akdeniz, Oleksandr Frei, Espen Hagen +15

Non-sharable sensitive data collection and analysis in large-scale consortia for genomic research is complicated. Time consuming issues in installing software arise due to differen…

q-bio.GN2021★ 1 cited

OncoEnrichR: cancer-dedicated gene set interpretation

Sigve Nakken, Sveinung Gundersen, Fabian L. M. Bernal +3

Genome-scale screening experiments in cancer produce long lists of candidate genes that require extensive interpretation for biological insight and prioritization for follow-up stu…

physics.bio-ph2016★ 89 cited

Hi-C-constrained physical models of human chromosomes recover functionally-related properties of genome organization

Marco Di Stefano, Jonas Paulsen, Tonje G. Lien +2

Combining genome-wide structural models with phenomenological data is at the forefront of efforts to understand the organizational principles regulating the human genome. Here, we…

cs.DC2015★ 9 cited

Standing Together for Reproducibility in Large-Scale Computing: Report on reproducibility@XSEDE

Doug James, Nancy Wilkins-Diehr, Victoria Stodden +52

This is the final report on reproducibility@xsede, a one-day workshop held in conjunction with XSEDE14, the annual conference of the Extreme Science and Engineering Discovery Envir…

q-bio.GN2011★ 79 cited

The Genomic HyperBrowser: inferential genomics at the sequence level

Geir K. Sandve, Sveinung Gundersen, Halfdan Rydbeck +11

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.…

q-bio.BM2008★ 3 cited

Segmentation of DNA sequences into twostate regions and melting fork regions

Eivind Tøstesen, Geir Kjetil Sandve, Fang Liu +1

The accurate prediction and characterization of DNA melting domains by computational tools could facilitate a broad range of biological applications. However, no algorithm for melt…