PHI-Nets: A Network Resource for Ascomycete Fungal Pathogens to Annotate and Identify Putative Virulence Interacting Proteins and siRNA Targets.

Janowska-Sejda, Elzbieta I; Lysenko, Artem; Urban, Martin; Rawlings, Chris; Tsoka, Sophia; Hammond-Kosack, Kim E

Janowska-Sejda, Elzbieta I; Lysenko, Artem; Urban, Martin; Rawlings, Chris; Tsoka, Sophia; Hammond-Kosack, Kim E.

Afiliación

Janowska-Sejda EI; Department of Biointeractions and Crop Protection, Rothamsted Research, Harpenden, United Kingdom.
Lysenko A; Department of Computational and Analytical Sciences, Rothamsted Research, Harpenden, United Kingdom.
Urban M; Department of Informatics, Faculty of Natural and Mathematical Sciences, King's College London, London, United Kingdom.
Rawlings C; Department of Computational and Analytical Sciences, Rothamsted Research, Harpenden, United Kingdom.
Tsoka S; Department of Biointeractions and Crop Protection, Rothamsted Research, Harpenden, United Kingdom.
Hammond-Kosack KE; Department of Computational and Analytical Sciences, Rothamsted Research, Harpenden, United Kingdom.

Front Microbiol ; 10: 2721, 2019.

Article en En | MEDLINE | ID: mdl-31866958

Palabras clave

PHI-base; biological networks; gene function inference; interactome inference; pathogenic fungi; small interfering RNA

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Microbiol Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Suiza

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