An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Projects: pypi: ssbio

https://packages.ecosyste.ms/registries/pypi.org/packages/ssbio

Tools to enable structural systems biology
20 versions
Latest release: over 6 years ago
206 downloads last month

Enhanced Analysis
Repository Activity:
Repository Owner: Systems Biology Research Group (organization) Academic
README Analysis:
Science Score: 100/100
Starting Score: 100 points
Bonuses:
  • +60 Educational commit emails
    3 contributors with educational email addresses
  • +20 Academic repository owner
    Repository owned by academic institution
  • +15 Institutional repository owner
    Repository owned by research institution
  • +10 Educational website
    Repository owner has educational domain website
  • +16 Science terms in README
    8 scientific terms found in README
  • +6 Academic links
    1 academic links found in README
Penalties:
  • -10 PyPI ecosystem
    General-purpose ecosystem
  • -15 No science keywords
    No scientific terms found in keywords/classifiers

Very Likely Science (100)

Papers Mentioning ssbio 4

10.1371/journal.pcbi.1006644
A computational knowledge-base elucidates the response of Staphylococcus aureus to different media types
Cited by: 35
Author(s): Yara Seif, Jonathan M. Monk, Nathan Mih, Hannah Tsunemoto, Saugat Poudel, Cristal Zuñiga, Jared T. Broddrick, Karsten Zengler, Jaehyung Kim
Software Mentions: 7
Published: over 6 years ago
10.1186/s12859-020-3505-y
Adaptations of Escherichia coli strains to oxidative stress are reflected in properties of their structural proteomes
Cited by: 3
Author(s): Nathan Mih, Jonathan M. Monk, Xin Fang, Edward Catoiu, David Heckmann, Laurence T. Yang, Jaehyung Kim
Software Mentions: 2
Published: over 5 years ago
10.3390/microorganisms8122050
The Expanding Computational Toolbox for Engineering Microbial Phenotypes at the Genome Scale
Cited by: 11
Author(s): Daniel C. Zielinski, Arjun Patel, Bernhard Ø. Palsson
Software Mentions: 2
Published: over 4 years ago
10.15252/msb.202010099
Genome‐scale metabolic modeling reveals key features of a minimal gene set
Cited by: 12
Author(s): Jean-Christophe Lachance, Dominick Matteau, Joëlle Brodeur, Colton J. Lloyd, Nathan Mih, Zachary A. King, Thomas F. Knight, Adam M. Feist, Jonathan M. Monk, Jaehyung Kim, Pierre-Étienne Jacques, Sébastien Rodrigue
Software Mentions: 2
Published: about 4 years ago