Using hierarchical clustering of secreted protein families to classify and rank candidate effectors of rust fungi.

Saunders DG, Win J, Cano LM, Szabo LJ, Kamoun S, Raffaele S

DOI: 10.1371/journal.pone.0029847
Published: 2012
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0029847,
  title = {Using hierarchical clustering of secreted protein families to classify and rank candidate effectors of rust fungi.},
  author = {Saunders DG and Win J and Cano LM and Szabo LJ and Kamoun S and Raffaele S},
  year = {2012},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0029847},
  url = {https://doi.org/10.1371/journal.pone.0029847}
}

RIS

TY  - JOUR
TI  - Using hierarchical clustering of secreted protein families to classify and rank candidate effectors of rust fungi.
AU  - Saunders DG
AU  - Win J
AU  - Cano LM
AU  - Szabo LJ
AU  - Kamoun S
AU  - Raffaele S
PY  - 2012
JO  - PloS one
DO  - 10.1371/journal.pone.0029847
UR  - https://doi.org/10.1371/journal.pone.0029847
ER  -

APA

DG, S., J, W., LM, C., LJ, S., S, K., & S, R. (2012). Using hierarchical clustering of secreted protein families to classify and rank candidate effectors of rust fungi.. PloS one. https://doi.org/10.1371/journal.pone.0029847

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pubmed · retrieved 2026-11-10T10:46:41.572Z