
This repository contains data used for the testing of HTSinfer, a Python-based tool to infer metadata directly from bulk RNA-sequencing data, generated on Illumina platforms. 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. For testing purposes, HTSinfer was installed from Bioconda and executed with default settings, except for the --records parameter, which was adjusted in the case of the 720 RNA-Seq samples set. HTSinfer was tested with the --records argument set to different values (10 thousand, 100 thousand, 1 million, 10 million, and 0 – indicating all records) to evaluate performance and runtimes. A supplementary table comparing the functionality of HTSinfer with other available metadata inference tools is also available in the repository.
Illumina, metadata, RNA-Seq, HTS
Illumina, metadata, RNA-Seq, HTS
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
