Published December 10, 2025 | Version v1
Dataset Open

Transcriptomic reads and mapping-derived coverage for the UG5 (DRT11) genomic island of Sinorhizobium meliloti RMO17

Authors/Creators

  • 1. ROR icon Consejo Superior de Investigaciones Científicas
  • 2. EEZ-CSIC

Description

This dataset contains the sequencing reads and mapping-derived coverage files corresponding to the UG5 genomic island of Sinorhizobium meliloti RMO17. Paired-end reads mapped to the UG5 region were extracted and processed using Bowtie2, Samtools, Bedtools and deepTools. The dataset includes raw FASTQ.gz files (R1, R2 and unpaired), the reference sequence of the UG5 genomic island (FASTA), genomic annotations (BED), genome size file, and all mapping-derived products (sorted BAM/BAl, bedGraph, and bigWig files with raw and CPM-normalized coverage). The dataset is organised in a structured directory (raw_reads, reference, mapping_products, metadata) to facilitate reuse and reproducibility.

This resource supports the analyses reported in the associated manuscript.

Methods (English)

Reads were mapped to the UG5 region using Bowtie2 (default settings), sorted with Samtools and processed with Bedtools and deepTools to generate coverage profiles. The dataset directory includes all intermediate and final files required to reproduce the analyses.

Files

UG5_dataset.zip

Files (2.0 MB)

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Additional details

Funding

Agencia Estatal de Investigación
PID2023-147707NB-100 (10.13039/501100011033)

Dates

Collected
2025-12-10
This dataset contains the sequencing reads and mapping-derived coverage files corresponding to the UG5 genomic island of Sinorhizobium meliloti RMO17. Raw paired-end FASTQ.gz files (R1, R2 and unpaired reads) were extracted and mapped against the UG5 region using Bowtie2, Samtools, Bedtools and deepTools. The dataset includes the reference sequence (FASTA), genomic annotations (BED), the genome size file, and all mapping-derived products (sorted BAM/BAI, bedGraph and bigWig files with raw and CPM-normalized coverage). The dataset is currently kept private while the associated manuscript is under peer review and will be made publicly available upon acceptance.