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        <identifier>oai:figshare.com:article/32254899</identifier>
        <datestamp>2026-09-28T15:21:10Z</datestamp>
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          <dc:title>Gene Count Matrices for RNA-seq Analysis across 6 Microalgal Species</dc:title>
          <dc:creator>Meryam Carrus (23844192)</dc:creator>
          <dc:subject>Bioinformatics and computational biology not elsewhere classified</dc:subject>
          <dc:subject>Genomics and transcriptomics</dc:subject>
          <dc:subject>RNA-seq</dc:subject>
          <dc:subject>Gene counts</dc:subject>
          <dc:subject>Count Matrix</dc:subject>
          <dc:subject>prepDE</dc:subject>
          <dc:subject>Microalgae</dc:subject>
          <dc:subject>Bioinformatics</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This dataset contains gene-level count matrices generated from RNA-seq data for six microalgal species under different experimental conditions. Raw read alignments were processed and summarized into gene count matrices using the prepDE script (part of the StringTie pipeline), which converts transcript-level abundance estimates into gene-level raw counts suitable for downstream differential expression analysis. Each matrix includes gene identifiers and corresponding raw read counts for all samples within each experimental condition and species. These count matrices were used as input for downstream differential expression analysis to identify significant up- and down-regulated genes across conditions.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-28T15:21:10Z</dc:date>
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          <dc:type>Dataset</dc:type>
          <dc:identifier>10.6084/m9.figshare.32254899.v1</dc:identifier>
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