Quality control metrics for RNA sequencing data from four freshwater bacterial isolates cultured under iron-replete and iron-limited conditions. The dataset, authored by Gi Uk Hong and last updated in April 2026, includes statistics on raw read quality, trimming efficiency, and mapping results. It is a small dataset (9.5 KB) provided in an XLSX file.
Use Cases
- Benchmarking RNA-seq preprocessing pipelines based on the provided trimming and mapping statistics.
- Assessing sequencing run quality for comparative transcriptomics experiments based on the raw read quality metrics.
- Evaluating the impact of iron availability on bacterial gene expression studies based on the paired library design.
- Training quality control models for microbial RNA-seq data based on the structured summary metrics.
Strengths
- Provides paired sequencing libraries for four distinct bacterial strains, enabling comparative analysis.
- Released under a permissive CC-BY-4.0 license, allowing for broad reuse and redistribution.
- Focuses on a specific experimental condition (iron availability), providing a controlled context for the data.
Limitations
- Row count and column-level documentation are unknown, which may limit suitability assessment.
- The dataset is very small (9.5 KB), indicating a summary-level scope rather than containing raw sequencing reads.
- Description metadata is limited; actual data structure and field semantics must be inferred after download.
Provenance
- Source
- figshare
- Collection Method
- Generated from transcriptome analyses using next-generation RNA sequencing.
- Time Range
- null
- Freshness
- Last updated 2026-04-29 06:44:44; freshness should be verified.
- Geography
- null