EffectorP: Predicting fungal effector proteins from secretomes using machine learning

New Phytologist

Volumn 210, Issue 2, 2016, Pages 743-761

  Sperschneider, Jana ^a   Gardiner, Donald M ^b   Dodds, Peter N ^a   Tini, Francesco ^b,c   Covarelli, Lorenzo ^c   Singh, Karam B ^a   Manners, John M ^a   Taylor, Jennifer M ^a  

^a CSIRO   (Australia)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c UNIVERSITY OF PERUGIA   (Italy)

Author keywords

Effector; EffectorP; Fungal effector prediction; Fungal pathogen; Machine learning; Secretomes

Indexed keywords

EUKARYOTA; FUNGI;

AMINO ACID; FUNGAL PROTEIN;

ALGORITHM; BIOLOGY; CHEMISTRY; CYTOPLASM; FUNGAL GENOME; FUSARIUM; MACHINE LEARNING; METABOLISM; MOLECULAR WEIGHT; PROCEDURES; REPRODUCIBILITY; SECRETION (PROCESS); SPECIES DIFFERENCE;

ALGORITHMS; AMINO ACIDS; COMPUTATIONAL BIOLOGY; CYTOPLASM; FUNGAL PROTEINS; FUSARIUM; GENOME, FUNGAL; MACHINE LEARNING; MOLECULAR WEIGHT; REPRODUCIBILITY OF RESULTS; SPECIES SPECIFICITY;

EID: 84951320522     PISSN: 0028646X     EISSN: 14698137     Source Type: Journal    
DOI: 10.1111/nph.13794     Document Type: Article

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