Deep learning analysis of soybean cyst nematode effectors to proven soybean resistance genes and homolog identification in the sugar beet-sugar beet root maggot plant pathosystem
Authors
Vincent P. Klink (ORCID: https://orcid.org/0000-0002-7167-4032)
Nadim W. Alkharouf (ORCID: https://orcid.org/0000-0001-6038-0410)
Deep learning analysis of soybean cyst nematode effectors to proven soybean resistance genes and homolog identification in the sugar beet-sugar beet root maggot plant pathosystem
Vincent P. Klink, Nadim W. Alkharouf, Chenggen Chu, Sidra Rahim et al.
Journal
Data in Brief
Topics
Nematode management and characterization studies
article
Deep learning analysis of soybean cyst nematode effectors to proven soybean resistance genes and homolog identification in the sugar beet-sugar beet root maggot plant pathosystem
Vincent P. Klink, Nadim W. Alkharouf, Chenggen Chu, Sidra Rahim, Yerang Lee
article en
Abstract
No abstract available for this paper.
Publication Tag
Data in BriefVol. 66
Institutions
Agricultural Research Service (US), Northern Great Plains Research Laboratory (US), Towson University (US)
Funders
Beet Sugar Development Foundation, Agricultural Research Service