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Fast and accurate genome-wide predictions and structural modeling of protein-protein interactions using Galaxy
View ORCID ProfileAysam Guerler, View ORCID ProfileDannon Baker, View ORCID ProfileMarius van den Beek, View ORCID ProfileBjoern Gruening, View ORCID ProfileDave Bouvier, Nate Coraor, View ORCID ProfileStephen D. Shank, View ORCID ProfileJordan D. Zehr, View ORCID ProfileMichael C. Schatz, View ORCID ProfileAnton Nekrutenko
doi: https://doi.org/10.1101/2021.03.17.435706
Aysam Guerler
1Dept. of Computer Science, Johns Hopkins University, Baltimore, MD, USA
Dannon Baker
1Dept. of Computer Science, Johns Hopkins University, Baltimore, MD, USA
Marius van den Beek
2Dept. of Biochemistry and Molecular Biology, Penn State University, College Park, PA, USA
Bjoern Gruening
3Dept. of Bioinformatics, Freiburg University, Freiburg, Germany
Dave Bouvier
2Dept. of Biochemistry and Molecular Biology, Penn State University, College Park, PA, USA
Nate Coraor
2Dept. of Biochemistry and Molecular Biology, Penn State University, College Park, PA, USA
Stephen D. Shank
4Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, USA
Jordan D. Zehr
4Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, USA
Michael C. Schatz
1Dept. of Computer Science, Johns Hopkins University, Baltimore, MD, USA
Anton Nekrutenko
2Dept. of Biochemistry and Molecular Biology, Penn State University, College Park, PA, USA
Article usage
Posted April 14, 2021.
Fast and accurate genome-wide predictions and structural modeling of protein-protein interactions using Galaxy
Aysam Guerler, Dannon Baker, Marius van den Beek, Bjoern Gruening, Dave Bouvier, Nate Coraor, Stephen D. Shank, Jordan D. Zehr, Michael C. Schatz, Anton Nekrutenko
bioRxiv 2021.03.17.435706; doi: https://doi.org/10.1101/2021.03.17.435706
Fast and accurate genome-wide predictions and structural modeling of protein-protein interactions using Galaxy
Aysam Guerler, Dannon Baker, Marius van den Beek, Bjoern Gruening, Dave Bouvier, Nate Coraor, Stephen D. Shank, Jordan D. Zehr, Michael C. Schatz, Anton Nekrutenko
bioRxiv 2021.03.17.435706; doi: https://doi.org/10.1101/2021.03.17.435706
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