Identifying genetic variants underlying phenotypic variation in plants without complete genomes. Voichek, Y. & Weigel, D. Nature Genetics, April, 2020. Publisher: Nature Publishing GroupPaper doi abstract bibtex Application of a new k-mer-based genome-wide association approach to 2,000 phenotypes in Arabidopsis thaliana, tomato and maize detects new associations with structural variants and with regions missing from reference genomes.
@article{voichek2020Identifying,
title = {Identifying genetic variants underlying phenotypic variation in plants without complete genomes},
copyright = {2020 The Author(s), under exclusive licence to Springer Nature America, Inc.},
issn = {1546-1718},
url = {https://www.nature.com/articles/s41588-020-0612-7},
doi = {10.1038/s41588-020-0612-7},
abstract = {Application of a new k-mer-based genome-wide association approach to 2,000 phenotypes in Arabidopsis thaliana, tomato and maize detects new associations with structural variants and with regions missing from reference genomes.},
language = {en},
urldate = {2020-04-22},
journal = {Nature Genetics},
author = {Voichek, Yoav and Weigel, Detlef},
month = apr,
year = {2020},
note = {Publisher: Nature Publishing Group},
pages = {1--7}
}
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