The EVcouplings Python framework for coevolutionary sequence analysis

Author:

Hopf Thomas A12ORCID,Green Anna G1ORCID,Schubert Benjamin123ORCID,Mersmann Sophia1,Schärfe Charlotta P I145ORCID,Ingraham John B1,Toth-Petroczy Agnes1,Brock Kelly1,Riesselman Adam J1,Palmedo Perry16,Kang Chan1,Sheridan Robert7,Draizen Eli J8,Dallago Christian129ORCID,Sander Chris23,Marks Debora S1ORCID

Affiliation:

1. Department of Systems Biology, Harvard Medical School, Boston, MA, USA

2. Department of Cell Biology, Harvard Medical School, Boston, MA, USA

3. cBio Center, Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA

4. Center for Bioinformatics, University of Tübingen, Tübingen, Germany

5. Applied Bioinformatics, Department of Computer Science, Tübingen, Germany

6. Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA

7. Computational Biology Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA

8. Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA

9. Department of Informatics, Technische Universität München, Garching, Germany

Funder

NSF

GRFP

DOE CSGF

Pathway Commons

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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