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ZENODO
Software . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2024
License: CC BY
Data sources: Datacite
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rouskinlab/seismic-rna: Hit the Jackpot

Authors: Matty Allan; Yves Martin des Taillades; heWhosShouldersBlockTheSun; Alberic de Lajarte; Justin Aruda;

rouskinlab/seismic-rna: Hit the Jackpot

Abstract

What's new in 0.20.1 New Features The clustering step now calculates a "jackpotting quotient" to measure how much bias there is in the dataset. The calculation is expensive and can be toggled with --jackpot/--no-jackpot. The clustering step now outputs the per-run statistics as a CSV file and a graph for every statistic, rather than writing them into the cluster report. It also ouputs scatter plots comparing the observed and expected counts for each number of clusters. The new command seismic +datapath locates and prints the location of the data path for RNAstructure (assuming it has been installed properly), to which the DATAPATH environment variable should be set. The raise_on_error parameter can now be used to make SEISMIC-RNA raise an Exception instead of logging an error message any time logger.error() or logger.critical() is called. This is useful for testing the whole workflow, when errors should cause the test to fail. Only available through the Python API. SEISMIC-RNA now has a new logo! Bug Fixes Fixed a bug where clustering would run by default in seismic wf. Now, clustering is enabled with the flag --cluster. Fixed a bug causing seismic align and seismic wf to delete BAM files when aligning demultiplexed FASTQ files. Assume that the folding energy for RNA structures missing an explicit energy is 0 rather than NaN. Added kaleido to list of dependencies to fix a bug about a missing optional dependency for Plotly. Fixed a bug where seismic +sim ends could produce out-of-bounds 5' or 3' ends. Full Changelog: https://github.com/rouskinlab/seismic-rna/compare/v0.20.0...v0.20.1

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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!
0
Average
Average
Average