about
The Genomic HyperBrowser: inferential genomics at the sequence levelGenomic regions associated with multiple sclerosis are active in B cellsTen simple rules for reproducible computational research.Handling realistic assumptions in hypothesis testing of 3D co-localization of genomic elements.The Genomic HyperBrowser: an analysis web server for genome-scale data.ClusTrack: feature extraction and similarity measures for clustering of genome-wide data setsChromatin states reveal functional associations for globally defined transcription start sites in four human cell lines.Improved benchmarks for computational motif discovery.Assessment of composite motif discovery methods.The differential disease regulomeIdentifying elemental genomic track types and representing them uniformly.Age-associated hyper-methylated regions in the human brain overlap with bivalent chromatin domainsIntegrating multiple oestrogen receptor alpha ChIP studies: overlap with disease susceptibility regions, DNase I hypersensitivity peaks and gene expression.A survey of motif discovery methods in an integrated frameworkVitamin D receptor ChIP-seq in primary CD4+ cells: relationship to serum 25-hydroxyvitamin D levels and autoimmune diseaseHiBrowse: multi-purpose statistical analysis of genome-wide chromatin 3D organization.Transcriptionally active regions are the preferred targets for chromosomal HPV integration in cervical carcinogenesis.EBNA2 binds to genomic intervals associated with multiple sclerosis and overlaps with vitamin D receptor occupancy.Increased expression of IRF4 and ETS1 in CD4+ cells from patients with intermittent allergic rhinitis.c-Myb Binding Sites in Haematopoietic Chromatin LandscapesVitamin D receptor binding, chromatin states and association with multiple sclerosis.The rainfall plot: its motivation, characteristics and pitfalls.Coordinates and intervals in graph-based reference genomesGalaxy Portal: interacting with the galaxy platform through mobile devicesCompo: composite motif discovery using discrete modelsIn the loop: promoter-enhancer interactions and bioinformatics.GSuite HyperBrowser: integrative analysis of dataset collections across the genome and epigenomeHuman somatic cell mutagenesis creates genetically tractable sarcomas.Sequential Monte Carlo multiple testing.NucDiff: in-depth characterization and annotation of differences between two sets of DNA sequences.Uracil Accumulation and Mutagenesis Dominated by Cytosine Deamination in CpG Dinucleotides in Mice Lacking UNG and SMUG1.Genome build information is an essential part of genomic track files.Complex patterns of concomitant medication use: A study among Norwegian women using paracetamol during pregnancy.High-Throughput Single-Cell Analysis of B Cell Receptor Usage among Autoantigen-Specific Plasma Cells in Celiac Disease.Segmentation of DNA sequences into twostate regions and melting fork regions.Coloc-stats: a unified web interface to perform colocalization analysis of genomic features.Colocalization analyses of genomic elements: approaches, recommendations and challengesNucBreak: Location of structural errors in a genome assembly by using paired-end Illumina readsGraph Peak Caller: calling ChIP-Seq Peaks on Graph-based Reference GenomesGSuite HyperBrowser: integrative analysis of dataset collections across the genome and epigenome
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description
onderzoeker
@nl
researcher, ORCID id # 0000-0002-4959-1409
@en
name
Geir Kjetil Sandve
@ast
Geir Kjetil Sandve
@en
Geir Kjetil Sandve
@es
Geir Kjetil Sandve
@nl
type
label
Geir Kjetil Sandve
@ast
Geir Kjetil Sandve
@en
Geir Kjetil Sandve
@es
Geir Kjetil Sandve
@nl
prefLabel
Geir Kjetil Sandve
@ast
Geir Kjetil Sandve
@en
Geir Kjetil Sandve
@es
Geir Kjetil Sandve
@nl
P106
P1153
14021897700
P2798
P31
P496
0000-0002-4959-1409