Projects: pypi: annotations

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

Multimodal stimulus annotation in Python
1 version
Latest release: almost 3 years ago

Enhanced Analysis
Educational Contributors: delavega@utexas.edu jakubk@mit.edu tsalo006@fiu.edu emd222@cornell.edu mathiasg@mit.edu delavega@colorado.edu rog1@psu.edu jayeeta.roy@utexas.edu
Repository Activity:
Science Score: 100/100
Starting Score: 100 points
Bonuses:
  • +160 Educational commit emails
    8 contributors with educational email addresses
Penalties:
  • -10 PyPI ecosystem
    General-purpose ecosystem
  • -15 No science keywords
    No scientific terms found in keywords/classifiers
  • -10 No science terms in description
    No scientific terms found in description

Very Likely Science (100)

Papers Mentioning annotations 1

10.1038/s42003-018-0165-9
i-BLESS is an ultra-sensitive method for detection of DNA double-strand breaks
Cited by: 38
Author(s): Anna Biernacka, Yingjie Zhu, Magdalena Skrzypczak, Romain Forey, Benjamín Pardo, Marta Grzelak, Jules Nde, Abhishek Mitra, Andrzej Kudlicki, Nicola Crosetto, Philippe Pasero, Maga Rowicka, Krzysztof Ginalski
Software Mentions: 3
Published: over 7 years ago