Author
Ivar Grytten
University of OsloORCID 0000-0001-8941-942XUnclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2016-2023 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 27 mutual co-author links11 papers
Recent·Most cited
- BioinformaticsbioRxivPreprint
Ultra-fast genotyping of SNPs and short indels using GPU acceleration
Jørgen Wictor Henriksen, Knut Dagestad Rand, Geir Kjetil Sandve, Ivar Grytten
GKAGE is a GPU-accelerated genotyper that improves the speed of SNP and short indel genotyping by an order of magnitude compared to CPU-based methods like KAGE.
DOI 10.1101/2023.04.14.534526 - BioinformaticsbioRxivPreprint
BioNumPy: Fast and easy analysis of biological data with Python
Knut Dagestad Rand, Ivar Grytten, Milena Pavlović…·Geir Kjetil Sandve
BioNumPy enables efficient array programming on biological data using Python, outperforming vanilla Python and other packages while matching C/C++ speeds for common bioinformatics tasks.
12 citations - BioinformaticsbioRxivPreprint
KAGE: Fast alignment-free graph-based genotyping of SNPs and short indels
Ivar Grytten, Knut Dagestad Rand, Geir Kjetil Sandve
KAGE is a fast and accurate alignment-free genotyper for SNPs and short indels using a pan-genome representation and Bayesian modeling.
DOI 10.1101/2021.12.03.471074 - BioinformaticsNature Machine IntelligencePeer-reviewed
immuneML: an ecosystem for machine learning analysis of adaptive immune receptor repertoires
Milena Pavlović, Lonneke Scheffer, Keshav Motwani…·Geir Kjetil Sandve
immuneML provides an open-source ecosystem for reproducible and interoperable machine learning analysis of adaptive immune receptor repertoires, demonstrating its utility through benchmarking and novel methods.
87 citationstop 3% - Molecular BiologyCellsPeer-reviewed
Open the LID: LXRα regulates ChREBPα transactivity in a target gene-specific manner through an agonist-modulated LBD-LID interaction
Qiong Fan, Rikke C. Nørgaard, Ivar Grytten…·Thomas Sæther
This paper shows that LXRα modulates ChREBPα activity through a ligand-dependent interaction between LXR's LBD and ChREBP's LID, affecting gene-specific transcription.
5 citations - BioinformaticsBMC GenomicsPeer-reviewed
Assessing graph-based read mappers against a novel baseline approach highlights strengths and weaknesses of the current generation of methods
Ivar Grytten, Knut Dagestad Rand, Alexander J. Nederbragt, Geir Kjetil Sandve
The paper evaluates two graph-based read mappers against a hybrid baseline approach, showing the baseline improves mapping accuracy to graph-based references.
- BioinformaticsBriefings in BioinformaticsPeer-reviewed
Beware the Jaccard: the choice of metric is important and non-trivial in genomic colocalisation analysis.
Stefania Salvatore, Knut Dagestad Rand, Ivar Grytten…·Geir Kjetil Sandve
The paper shows that the choice of metric significantly affects genomic co-occurrence analysis and proposes alternative approaches to guide this choice.
- BioinformaticsPLoS Computational BiologyPeer-reviewed
Graph Peak Caller: calling ChIP-Seq Peaks on Graph-based Reference Genomes
Ivar Grytten, Knut Dagestad Rand, Alexander J. Nederbragt…·Geir Kjetil Sandve
The paper introduces a method for calling ChIP-Seq peaks on graph-based reference genomes and demonstrates its ability to detect more motif-enriched peaks than MACS2.
38 citations - GenomicsGigaSciencePeer-reviewed
GSuite HyperBrowser: integrative analysis of dataset collections across the genome and epigenome
Boris Simovski, Daniel Vodak, Sveinung Gundersen…·Geir Kjetil Sandve
GSuite HyperBrowser provides a platform for integrative analysis of genome and epigenome datasets with customizable statistical methods and a Galaxy-based interface.
DOI 10.1093/gigascience/gix032 - BioinformaticsbioRxiv
Coordinates and Intervals in Graph-based Reference Genomes
Knut Dagestad Rand, Ivar Grytten, Alexander Nederbragt…·Geir Kjetil Sandve
The paper introduces a method to represent genomic intervals on graph-based reference genomes and demonstrates it on the GRCh38 human genome.
DOI 10.1186/s12859-017-1678-9