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HTSinfer: Supplementary materials

<p>This repository contains data used for the testing of <a href="https://github.com/zavolanlab/htsinfer">HTSinfer</a>, a Python-based tool to infer metadata directly from bulk RNA-sequencing data, generated on Illumina platforms.&nbsp;</p> <p>The repository includes the sample tables containing metadata from the 72 self-generated and publicly shared RNA-Seq samples, the 720 samples collected from the SRA database, and the aggregated tables, describing the results of the inference.&nbsp;</p> <p>For testing purposes, HTSinfer was installed from&nbsp;<a href="https://anaconda.org/bioconda/htsinfer">Bioconda</a> and executed with default settings, except for the <code>--records</code> parameter, which was adjusted in the case of the 720 RNA-Seq samples set. HTSinfer was tested with the <code>--records</code> argument set to different values (10 thousand, 100 thousand, 1 million, 10 million, and 0 &ndash; indicating all records) to evaluate performance and runtimes.</p> <p>A supplementary table comparing the functionality of HTSinfer with other available metadata inference tools is also available in the repository.</p>

ShareScore

48/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
12
Harmonization
4
Access
16
Reuse readiness
8
Engagement
8

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