quickARSC: Standalone Package and Web Interface for Profiling Elemental Stoichiometry of Proteomes

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Satoshi Nishino, Kento Tominaga, Yuki Nishimura, Susumu Yoshizawa
DOI: 10.5281/zenodo.17977581
Cited by: 0

Abstract

This is a supplementary dataset for the quickARSC project.https://github.com/stsnsn/quickARSC ARSC_visualization_R.html Visualization R code and all figures. arsc.tar.gz The pypi package of quickARSC. arsc_gtdb_r226rep.tsv raw table of pre-computed results all codes and tables also available from our GitHub https://github.com/stsnsn/quickARSC

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
24 February 2026
Document type
Dataset