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EnzymeML/PyEnzyme: PyEnzyme 1.1.3

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 13 Apr 2022Publisher:Zenodo
Authors: Range, Jan; Bergmann, Frank; Rohwer, Johann; AnnaReisch; Dienhart, Hannah; SL-2204;

doi: 10.5281/zenodo.6457299

EnzymeML/PyEnzyme: PyEnzyme 1.1.3

Abstract

In the course of the upcoming "EnzymeML at work" manuscript, the PyEnzyme library has been extended and revisited to enhance functionalities. In addition, the syntax has been improved towards a more pythonic way that aligns well to common standards. Important changes Thin Layers have been generalized and are built from a Base Thin Layer Syntax has been changed to fit python standards Measurement and experimental data management has been improved Export relevant data to Pandas DataFrames Direct visualization either static or interactively JSON export and import Improved data validation and creation of validation YAML files Documentation has been added Comprehensive testing suite to check on functionality

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visibility
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
Average
Average
Average
9