Large-scale data mining pipeline for identifying novel soybean genes involved in resistance against the soybean cyst nematode.

Nissan, Nour; Hooker, Julia; Arezza, Eric; Dick, Kevin; Golshani, Ashkan; Mimee, Benjamin; Cober, Elroy; Green, James; Samanfar, Bahram

Nissan, Nour; Hooker, Julia; Arezza, Eric; Dick, Kevin; Golshani, Ashkan; Mimee, Benjamin; Cober, Elroy; Green, James; Samanfar, Bahram.

Afiliação

Nissan N; Agriculture and Agri-Food Canada, Ottawa Research and Development Centre, Ottawa, ON, Canada.
Hooker J; Department of Biology and Ottawa Institute of Systems Biology, Carleton University, Ottawa, ON, Canada.
Arezza E; Agriculture and Agri-Food Canada, Ottawa Research and Development Centre, Ottawa, ON, Canada.
Dick K; Department of Biology and Ottawa Institute of Systems Biology, Carleton University, Ottawa, ON, Canada.
Golshani A; Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada.
Mimee B; Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada.
Cober E; Department of Biology and Ottawa Institute of Systems Biology, Carleton University, Ottawa, ON, Canada.
Green J; Agriculture and Agri-Food Canada, Saint-Jean-sur-Richelieu Research and Development Centre, Saint-Jeansur-Richelieu, QC, Canada.
Samanfar B; Agriculture and Agri-Food Canada, Ottawa Research and Development Centre, Ottawa, ON, Canada.

Front Bioinform ; 3: 1199675, 2023.

Article em En | MEDLINE | ID: mdl-37409347

Palavras-chave

SCN resistance; bioinformatics; computational biology; proteinprotein interactions; soybean cyst nematode

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Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Bioinform Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Canadá

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