Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Papers: 10.1242/bio.036103

https://doi.org/10.1242/bio.036103

Extending chemical perturbations of the ubiquitin fitness landscape in a classroom setting reveals new constraints on sequence tolerance

Cited by: 16
Author(s): David Mavor, Kyle Barlow, Daniel Asarnow, Yuliya Birman, Derek Britain, Weilin Chen, Evan M. Green, L.R. Kenner, Bruk Mensa, Leanna S. Morinishi, Charlotte Nelson, Erin M. Poss, Pooja Suresh, Ruilin Tian, Taylor Arhar, Beatrice Ary, Diana Bauer, Ian D. Bergman, Rachel M. Brunetti, Cynthia M. Chio, Shizhong Dai, Miles Sasha Dickinson, Susanna K. Elledge, Cole V. M. Helsell, Nathan L. Hendel, Emily L. Kang, Nadja Kern, Matvei Khoroshkin, Lisa L. Kirkemo, Greyson R. Lewis, Kevin Lou, Wesley M. Marin, Alison Maxwell, Peter F. McTigue, Douglas Myers-Turnbull, Tamas L. Nagy, Andrew M. Natale, Keely Oltion, Sergei Pourmal, Gabriel Reder, Nicholas J. Rettko, Peter J. Rohweder, Daniel M. C. Schwarz, Sophia K. Tan, Paul Thomas, Ryan W. Tibble, Jason P. Town, Mary K. Tsai, Fatima S. Ugur, Douglas R. Wassarman, Alexander M. Wolff, Taia Wu, Derek Bogdanoff, Jennifer Li, Kurt S. Thorn, Shane Ó’Conchúir, Danielle L. Swaney, Eric D. Chow, Hiten Madhani, Sy Redding, Daniel N. Bolon, Tanja Kortemme, Joseph L. DeRisi, Martin Kampmann, James S. Fraser
Published: over 6 years ago

Software Mentions 2

pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
pypi: scipy
Fundamental algorithms for scientific computing in Python
Papers that mentioned: 1,071