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Y2H-SCORES: A statistical framework to infer protein-protein interactions from next-generation yeast-two-hybrid sequence data
View ORCID ProfileValeria Velásquez-Zapata, View ORCID ProfileJ. Mitch Elmore, View ORCID ProfileSagnik Banerjee, View ORCID ProfileKarin S. Dorman, View ORCID ProfileRoger P. Wise
doi: https://doi.org/10.1101/2020.09.08.288365
Valeria Velásquez-Zapata
aProgram in Bioinformatics & Computational Biology, Iowa State University, Ames, IA 50011
bDepartment of Plant Pathology & Microbiology, Iowa State University, Ames, IA 50011
J. Mitch Elmore
bDepartment of Plant Pathology & Microbiology, Iowa State University, Ames, IA 50011
cCorn Insects and Crop Genetics Research, USDA-Agricultural Research Service, Ames, IA 50011
Sagnik Banerjee
aProgram in Bioinformatics & Computational Biology, Iowa State University, Ames, IA 50011
dDepartment of Statistics, Iowa State University, Ames, IA 50011
Karin S. Dorman
aProgram in Bioinformatics & Computational Biology, Iowa State University, Ames, IA 50011
dDepartment of Statistics, Iowa State University, Ames, IA 50011
eDepartment of Genetics, Development and Cell Biology, Iowa State University, Ames, IA 50011
Roger P. Wise
aProgram in Bioinformatics & Computational Biology, Iowa State University, Ames, IA 50011
bDepartment of Plant Pathology & Microbiology, Iowa State University, Ames, IA 50011
cCorn Insects and Crop Genetics Research, USDA-Agricultural Research Service, Ames, IA 50011
Posted September 14, 2020.
Y2H-SCORES: A statistical framework to infer protein-protein interactions from next-generation yeast-two-hybrid sequence data
Valeria Velásquez-Zapata, J. Mitch Elmore, Sagnik Banerjee, Karin S. Dorman, Roger P. Wise
bioRxiv 2020.09.08.288365; doi: https://doi.org/10.1101/2020.09.08.288365
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