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Geir Kjetil Sandve

Showing results (1-10 of 70) with videos related to

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Biology Direct|April 8, 2006
A survey of motif discovery methods in an integrated frameworkGeir Kjetil Sandve, Finn Drabløs
Bioinformatics (Oxford, England)|September 8, 2022
Access to ground truth at unconstrained size makes simulated data as indispensable as experimental data for bioinformatics methods development and benchmarkingGeir Kjetil Sandve, Victor Greiff
Computational Systems Bioinformatics. Computational Systems Bioinformatics Conference|March 21, 2007
A methodology for motif discovery employing iterated cluster re-assignmentOsman Abul, Finn Drabløs, Geir Kjetil Sandve
BMC Bioinformatics|December 10, 2008
Compo: composite motif discovery using discrete modelsGeir Kjetil Sandve, Osman Abul, Finn Drabløs
Bioinformatics (Oxford, England)|October 15, 2011
Sequential Monte Carlo multiple testingGeir Kjetil Sandve, Egil Ferkingstad, Ståle Nygård
Genome Biology|October 4, 2022
KAGE: fast alignment-free graph-based genotyping of SNPs and short indelsIvar Grytten, Knut Dagestad Rand, Geir Kjetil Sandve
Bioinformatics (Oxford, England)|July 19, 2022
CompAIRR: ultra-fast comparison of adaptive immune receptor repertoires by exact and approximate sequence matchingTorbjørn Rognes, Lonneke Scheffer, Victor Greiff, et al.
Genome Biology|September 16, 2017
Genome build information is an essential part of genomic track filesChakravarthi Kanduri, Diana Domanska, Eivind Hovig, et al.
BMC Bioinformatics|June 15, 2007
Improved benchmarks for computational motif discoveryGeir Kjetil Sandve, Osman Abul, Vegard Walseng, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal|August 6, 2011
Segmentation of DNA sequences into twostate regions and melting fork regionsEivind Tøstesen, Geir Kjetil Sandve, Fang Liu, et al.
Pageof 7

Showing results (1-10 of 70) with videos related to

Sort By:
Pageof 7
Biology Direct|April 8, 2006
A survey of motif discovery methods in an integrated frameworkGeir Kjetil Sandve, Finn Drabløs
Bioinformatics (Oxford, England)|September 8, 2022
Access to ground truth at unconstrained size makes simulated data as indispensable as experimental data for bioinformatics methods development and benchmarkingGeir Kjetil Sandve, Victor Greiff
Computational Systems Bioinformatics. Computational Systems Bioinformatics Conference|March 21, 2007
A methodology for motif discovery employing iterated cluster re-assignmentOsman Abul, Finn Drabløs, Geir Kjetil Sandve
BMC Bioinformatics|December 10, 2008
Compo: composite motif discovery using discrete modelsGeir Kjetil Sandve, Osman Abul, Finn Drabløs
Bioinformatics (Oxford, England)|October 15, 2011
Sequential Monte Carlo multiple testingGeir Kjetil Sandve, Egil Ferkingstad, Ståle Nygård
Genome Biology|October 4, 2022
KAGE: fast alignment-free graph-based genotyping of SNPs and short indelsIvar Grytten, Knut Dagestad Rand, Geir Kjetil Sandve
Bioinformatics (Oxford, England)|July 19, 2022
CompAIRR: ultra-fast comparison of adaptive immune receptor repertoires by exact and approximate sequence matchingTorbjørn Rognes, Lonneke Scheffer, Victor Greiff, et al.
Genome Biology|September 16, 2017
Genome build information is an essential part of genomic track filesChakravarthi Kanduri, Diana Domanska, Eivind Hovig, et al.
BMC Bioinformatics|June 15, 2007
Improved benchmarks for computational motif discoveryGeir Kjetil Sandve, Osman Abul, Vegard Walseng, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal|August 6, 2011
Segmentation of DNA sequences into twostate regions and melting fork regionsEivind Tøstesen, Geir Kjetil Sandve, Fang Liu, et al.
Pageof 7