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Torgeir R. Hvidsten

Researcher at Norwegian University of Life Sciences

Publications -  95
Citations -  5823

Torgeir R. Hvidsten is an academic researcher from Norwegian University of Life Sciences. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 30, co-authored 90 publications receiving 4820 citations. Previous affiliations of Torgeir R. Hvidsten include University of Alabama at Birmingham & Swedish University of Agricultural Sciences.

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The Norway spruce genome sequence and conifer genome evolution.

TL;DR: The draft assembly of the 20-gigabase genome of Norway spruce (Picea abies), the first available for any gymnosperm, is presented, revealing numerous long (>10,000 base pairs) introns, gene-like fragments, uncharacterized long non-coding RNAs and short RNAs, which opens up new genomic avenues for conifer forestry and breeding.
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The Atlantic salmon genome provides insights into rediploidization

TL;DR: It is found that genes that were retained as duplicates after the teleost-specific whole-genome duplication 320 million years ago were not more likely to be retained after the Ss4R, and that the duplicate retention was not influenced to a great extent by the nature of the predicted protein interactions of the gene products.
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Markers of Adenocarcinoma Characteristic of the Site of Origin: Development of a Diagnostic Algorithm

TL;DR: In this paper, the authors proposed a classification scheme for patients with metastatic adenocarcinoma of unknown origin, which can enable better prediction on biopsy material of the primary site in patients with unknown origin.
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Genome interplay in the grain transcriptome of hexaploid bread wheat

TL;DR: This work used previously unknown genome information to analyze the cell type–specific expression of homeologous genes in the developing wheat grain and identified distinct co-expression clusters reflecting the spatiotemporal progression during endosperm development.
Journal Article

Markers of adenocarcinoma characteristic of the site of origin : development

TL;DR: This classification scheme should enable better prediction on biopsy material of the primary site in patients with metastatic adenocarcinoma of unknown origin, leading to improved management and therapy.