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        <datestamp>2026-10-01T14:45:44Z</datestamp>
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          <dc:title>Research data for &lt;b&gt;Paired sequencing of IgA-bound bacteria&lt;/b&gt;</dc:title>
          <dc:creator>Logan Sauers (25081504)</dc:creator>
          <dc:subject>Bioinformatic methods development</dc:subject>
          <dc:subject>Immunology not elsewhere classified</dc:subject>
          <dc:subject>Microbiome</dc:subject>
          <dc:subject>Immunoglobulin A</dc:subject>
          <dc:subject>Metagenomics</dc:subject>
          <dc:subject>Metatranscriptomics</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;All bioinformatics outputs related to "Paired sequencing of IgA-bound bacteria reveals widespread associations between adaptive immunity and gut microbiome gene expression" which are required to recreate the statistical analysis in the manuscript.&lt;/p&gt;&lt;p dir="ltr"&gt;Data were generated from IgA-sorted (FACS) gut microbiota of IgMi mice, which produce monoclonal IgA. Positive (IgA-bound) and negative (IgA-unbound) bacterial fractions were subjected to paired metagenomic and metatranscriptomic sequencing. Full details of the MAG assembly pipeline and bioinformatics processing are available in the manuscript and at &lt;a href="https://github.com/SauersALogan/PIg-Seq" target="_blank"&gt;SauersALogan/PIg-Seq&lt;/a&gt;. &lt;/p&gt;&lt;p dir="ltr"&gt;This deposit contains the following files:&lt;/p&gt;&lt;ol&gt;&lt;li&gt;subsampled_dna_abundance.csv — Abundance of each bin from metagenomic sequencing after subsampling reads to equal depth across samples.&lt;/li&gt;&lt;li&gt;subsampled_rna_activity.csv — Abundance of each bin from metatranscriptomic sequencing after subsampling reads to equal depth across samples.&lt;/li&gt;&lt;li&gt;DNA_gene_count_controlled_subsampled.csv — Count of each gene from metagenomic sequencing after subsampling reads to equal depth across samples. Used for random forest.&lt;/li&gt;&lt;li&gt;RNA_gene_count_controlled_subsampled.csv — Count of each gene from metatranscriptomic sequencing after subsampling reads to equal depth across samples. Used for random forest.&lt;/li&gt;&lt;li&gt;DNA_features_controlled.csv — Count of each gene from metagenomic sequencing.&lt;/li&gt;&lt;li&gt;RNA_features_controlled.csv — Count of each gene from metatranscriptomic sequencing.&lt;/li&gt;&lt;li&gt;Pos_rel_abund_30-09-2025.csv — Relative abundance of each bin per sample in the positive (IgA-bound) fraction, for IgA score calculation.&lt;/li&gt;&lt;li&gt;Neg_rel_abund_30-09-2025.csv — Relative abundance of each bin per sample in the negative (IgA-unbound) fraction, for IgA score calculation.&lt;/li&gt;&lt;li&gt;Taxonomy_30-09-2025.csv — Taxonomic assignment of each bin.&lt;/li&gt;&lt;li&gt;Bin_number_to_taxonomy.csv — Map linking bin number to taxonomic assignment.&lt;/li&gt;&lt;li&gt;metadata_30-09-2025.csv — Sample metadata.&lt;/li&gt;&lt;li&gt;parsed_gff.txt — Bakta annotation of each gene identified in the bins.&lt;/li&gt;&lt;/ol&gt;&lt;p dir="ltr"&gt;Raw sequencing reads will be deposited under PRJEB127118 with the ENA.&lt;/p&gt;</dc:description>
          <dc:date>2026-10-01T14:45:44Z</dc:date>
          <dc:type>Dataset</dc:type>
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          <dc:identifier>10.48420/33951214.v1</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/Research_data_for_b_Paired_sequencing_of_IgA-bound_bacteria_b_/33951214</dc:relation>
          <dc:rights>CC0</dc:rights>
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