Torgeir R. Hvidsten

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Jan KomorowskiUppsala University, Sweden & IPI, Polish Academy of Sciences, PolandVerifierad e-postadress på icm.uu.se
Nathaniel Robert StreetProfessor, Umeå Plant Science Centre, Department of Plant Physiology, Umeå UniversityVerifierad e-postadress på umu.se
Simen R. SandveNorwegian university of life sciencesVerifierad e-postadress på nmbu.no
Niklas MählerClinical genetics, Umeå University HospitalVerifierad e-postadress på regionvasterbotten.se
Nicolas DelhommeResearcher, UPSC, Swedish University of Agricultural SciencesVerifierad e-postadress på slu.se
Andriy KryshtafovychUniversity of California, DavisVerifierad e-postadress på ucdavis.edu
Chanaka MannapperumaUmeå UniversityVerifierad e-postadress på umu.se
Hannele TuominenProfessor, Swedish University of Agricultural SciencesVerifierad e-postadress på slu.se
AK SandvikVerifierad e-postadress på ntnu.no
Stefan JanssonProfessor in plant cell and molecular biology, Umeå Plant Sience Centre, Umeå UniversityVerifierad e-postadress på plantphys.umu.se
Phil B. PopeProfessor, Norwegian University of Life SciencesVerifierad e-postadress på nmbu.no
Pär K IngvarssonSwedish University of Agricultural Sciences, Department of Plant biologyVerifierad e-postadress på slu.se
Ove NilssonProfessor at Umeå Plant Science Centre, Swedish University of Agricultural SciencesVerifierad e-postadress på slu.se
Magnus Ø. ArntzenNorwegian University of Life SciencesVerifierad e-postadress på nmbu.no
Daniel J. MacqueenProfessor & Head of Genome Biology Division, The Roslin Institute, University of EdinburghVerifierad e-postadress på roslin.ed.ac.uk
Manu Kumar GundappaThe Roslin Institute, University of EdinburghVerifierad e-postadress på roslin.ed.ac.uk
Gareth GillardNorwegian University of Life SciencesVerifierad e-postadress på nmbu.no
Johan TryggProfessor of Chemometrics, Umeå University, SwedenVerifierad e-postadress på umu.se
Patrik RydénDept. of Mathematics and Mathematical Statistics, Umeå UniversityVerifierad e-postadress på math.umu.se
Sigbjørn LienNorwegian University of Life SciencesVerifierad e-postadress på nmbu.no

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Torgeir R. Hvidsten

Professor, Norwegian University of Life Sciences

Verifierad e-postadress på nmbu.no - Startsida

Bioinformatics Gene regulatory networks Comparative regulomics Plants Salmonids


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
The Norway spruce genome sequence and conifer genome evolution B Nystedt, NR Street, A Wetterbom, A Zuccolo, YC Lin, DG Scofield, ... Nature 497 (7451), 579-584, 2013	1481	2013
The Atlantic salmon genome provides insights into rediploidization S Lien, BF Koop, SR Sandve, JR Miller, MP Kent, T Nome, TR Hvidsten, ... Nature 533 (7602), 200-205, 2016	929	2016
Markers of adenocarcinoma characteristic of the site of origin: development of a diagnostic algorithm JL Dennis, TR Hvidsten, EC Wit, J Komorowski, AK Bell, I Downie, ... Clinical Cancer Research 11 (10), 3766-3772, 2005	392	2005
Genome interplay in the grain transcriptome of hexaploid bread wheat M Pfeifer, KG Kugler, SR Sandve, B Zhan, H Rudi, TR Hvidsten, ... Science 345 (6194), 1250091, 2014	308	2014
Photoperiodic control of seasonal growth is mediated by ABA acting on cell-cell communication S Tylewicz, A Petterle, S Marttila, P Miskolczi, A Azeez, RK Singh, ... Science 360 (6385), 212-215, 2018	249	2018
The plant genome integrative explorer resource: PlantGenIE. org D Sundell, C Mannapperuma, S Netotea, N Delhomme, YC Lin, A Sjödin, ... New Phytologist 208 (4), 1149-1156, 2015	247	2015
AspWood: High-spatial-resolution transcriptome profiles reveal uncharacterized modularity of wood formation in Populus tremula D Sundell, NR Street, M Kumar, EJ Mellerowicz, M Kucukoglu, ... The Plant Cell 29 (7), 1585-1604, 2017	185	2017
Lineage-specific rediploidization is a mechanism to explain time-lags between genome duplication and evolutionary diversification FM Robertson, MK Gundappa, F Grammes, TR Hvidsten, AK Redmond, ... Genome biology 18, 1-14, 2017	147	2017
Predicting gene ontology biological process from temporal gene expression patterns A Lægreid, TR Hvidsten, H Midelfart, J Komorowski, AK Sandvik Genome research 13 (5), 965-979, 2003	146	2003
Learning rule-based models of biological process from gene expression time profiles using gene ontology TR Hvidsten, A Lægreid, J Komorowski Bioinformatics 19 (9), 1116-1123, 2003	143	2003
Predicting gene function from gene expressions and ontologies TR Hvidsten, J Komorowski, AK Sandvik, A Lægreid Pacific Symposium on Biocomputing 6, 299-310, 2001	118	2001
Activity–dormancy transition in the cambial meristem involves stage-specific modulation of auxin response in hybrid aspen K Baba, A Karlberg, J Schmidt, J Schrader, TR Hvidsten, L Bako, ... Proceedings of the National Academy of Sciences 108 (8), 3418-3423, 2011	107	2011
Gene co-expression network connectivity is an important determinant of selective constraint N Mähler, J Wang, BK Terebieniec, PK Ingvarsson, NR Street, ... PLoS genetics 13 (4), e1006402, 2017	103	2017
Functional and evolutionary genomic inferences in Populus through genome and population sequencing of American and European aspen YC Lin, J Wang, N Delhomme, B Schiffthaler, G Sundström, A Zuccolo, ... Proceedings of the National Academy of Sciences 115 (46), E10970-E10978, 2018	72	2018
OnPLS integration of transcriptomic, proteomic and metabolomic data shows multi-level oxidative stress responses in the cambium of transgenic hipI-superoxide dismutase Populus … V Srivastava, O Obudulu, J Bygdell, T Löfstedt, P Rydén, R Nilsson, ... BMC genomics 14 (1), 1-16, 2013	70	2013
A comprehensive analysis of the structure-function relationship in proteins based on local structure similarity TR Hvidsten, A Lægreid, A Kryshtafovych, G Andersson, K Fidelis, ... PLoS ONE 4 (7), e6266, 2009	70	2009
Subfunctionalization versus neofunctionalization after whole-genome duplication SR Sandve, RV Rohlfs, TR Hvidsten Nature genetics 50 (7), 908-909, 2018	68	2018
Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering E Freyhult, M Landfors, J Önskog, TR Hvidsten, P Rydén BMC bioinformatics 11 (1), 503, 2010	68	2010
Using multi-data hidden Markov models trained on local neighborhoods of protein structure to predict residue–residue contacts P Björkholm, P Daniluk, A Kryshtafovych, K Fidelis, R Andersson, ... Bioinformatics 25 (10), 1264-1270, 2009	64	2009
Discovering regulatory binding-site modules using rule-based learning TR Hvidsten, B Wilczyński, A Kryshtafovych, J Tiuryn, J Komorowski, ... Genome research 15 (6), 856-866, 2005	61	2005

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