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Software . 2020
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Software . 2020
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Software . 2020
Data sources: Datacite
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Software . 2020
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Software . 2020
Data sources: Datacite
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protfasta

Authors: Holehouse, Alex S.;
Abstract

protfasta is a simple, robust parser for working with FASTA files. It is pure python and has no external package dependencies other than Python language modules. This DOI represents the stable version (0.1.3) released in April 2020, and serves as a citable reference for protfasta. proftasta will be periodically updated with new features and bug fixes. Please check https://protfasta.readthedocs.io/en/latest/ for documentation on the most up-to-date version. How to cite protfasta: Please use this zenodo DOI and also reference the version used

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Keywords

FOS: Computer and information sciences, Bioinformatics, Protein Sequence Analysis, FASTA

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selected citations
These citations are derived from selected sources.
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!
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