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Authors whose works are in public domain in at least one jurisdiction

List of works by Brian J Sanderson

1-13 of 13 results

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De novo transcriptome assembly and polymorphism detection in the flowering plant Silene vulgaris (Caryophyllaceae).

scientific article
Genetic dissection of the Drosophila melanogaster female head transcriptome reveals widespread allelic heterogeneity

scientific article
Sex-biased gene expression in flowers, but not leaves, reveals secondary sexual dimorphism in Populus balsamifera

scientific article published on 04 September 2018
Scale dependence of sex ratio in wild plant populations: implications for social selection

scientific article
Genetic and physiological mechanisms of freezing tolerance in locally adapted populations of a winter annual

scientific article published on 24 November 2019
Pathways to sex determination in plants: how many roads lead to Rome?

scientific article published on 24 February 2020
A targeted sequence capture array for phylogenetics and population genomics in the Salicaceae

scientific article published on 25 October 2020
Constraints Imposed by a Natural Landscape Override Offspring Fitness Effects to Shape Oviposition Decisions in Wild Forked Fungus Beetles.

scientific article published on 7 February 2018
A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis

scientific article published on 2 July 2024
Sex determination through X-Y heterogamety in Salix nigra

scientific article published on 28 January 2021
Phylogenomics reveals patterns of ancient hybridization and differential diversification that contribute to phylogenetic conflict in willows, poplars, and close relatives

scientific article published in 2023
PDXNet consortium members from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis

PDXNet consortium members from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis

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