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Journal Articles
- 2024
[j5]Cedric Landerer, Maxim Scheremetjew
, HongKee Moon, Lena Hersemann, Ágnes Tóth-Petróczy:
deTELpy: Python package for high-throughput detection of amino acid substitutions in mass spectrometry datasets. Bioinform. 40(7) (2024)- 2019
- [j4]Anwoy Kumar Mohanty, Dana Vuzman, Laurent C. Francioli, Christopher Cassa, Ágnes Tóth-Petróczy, Shamil R. Sunyaev:
novoCaller: a Bayesian network approach for de novo variant calling from pedigree and population sequence data. Bioinform. 35(7): 1174-1180 (2019) - [j3]Thomas A. Hopf, Anna G. Green, Benjamin Schubert, Sophia Mersmann, Charlotta Schärfe, John Ingraham, Ágnes Tóth-Petróczy, Kelly Brock, Adam J. Riesselman, Perry Palmedo, Chan Kang, Robert P. Sheridan, Eli J. Draizen, Christian Dallago, Chris Sander, Debora S. Marks:
The EVcouplings Python framework for coevolutionary sequence analysis. Bioinform. 35(9): 1582-1584 (2019) - 2015
- [j2]Liat Rockah-Shmuel, Ágnes Tóth-Petróczy, Dan S. Tawfik:
Systematic Mapping of Protein Mutational Space by Prolonged Drift Reveals the Deleterious Effects of Seemingly Neutral Mutations. PLoS Comput. Biol. 11(8) (2015) - 2008
- [j1]Ágnes Tóth-Petróczy, Christopher J. Oldfield, István Simon, Yuichiro Takagi, A. Keith Dunker, Vladimir N. Uversky, Mónika Fuxreiter:
Malleable Machines in Transcription Regulation: The Mediator Complex. PLoS Comput. Biol. 4(12) (2008)
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