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Torgeir R. Hvidsten
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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
15252013
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
9772016
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
3952005
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
3202014
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
2792018
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
2622015
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
2062017
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
1602017
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
1482003
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
1442003
Predicting gene function from gene expressions and ontologies
TR Hvidsten, J Komorowski, AK Sandvik, A Lægreid
Pacific Symposium on Biocomputing 6, 299-310, 2001
1182001
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
1102011
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
1072017
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
762018
Subfunctionalization versus neofunctionalization after whole-genome duplication
SR Sandve, RV Rohlfs, TR Hvidsten
Nature genetics 50 (7), 908-909, 2018
762018
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
742009
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
732013
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
692010
Microbiota-directed fibre activates both targeted and secondary metabolic shifts in the distal gut
L Michalak, JC Gaby, L Lagos, SL La Rosa, TR Hvidsten, C Tétard-Jones, ...
Nature communications 11 (1), 5773, 2020
682020
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
642009
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