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          <dc:title>Chapter 3 Supplementary Tables. 3.3.1 - 3.4.3</dc:title>
          <dc:creator>Jake Butler (24511640)</dc:creator>
          <dc:subject>Genomics and transcriptomics</dc:subject>
          <dc:subject>Bioinformatics and computational biology not elsewhere classified</dc:subject>
          <dc:subject>Genomics</dc:subject>
          <dc:subject>Genome structure and regulation</dc:subject>
          <dc:subject>Gene expression (incl. microarray and other genome-wide approaches)</dc:subject>
          <dc:subject>Epigenetics (incl. genome methylation and epigenomics)</dc:subject>
          <dc:subject>Osteoarthritis</dc:subject>
          <dc:subject>Functional Genomics</dc:subject>
          <dc:subject>ATAC-seq</dc:subject>
          <dc:subject>Hi-C</dc:subject>
          <dc:subject>CUT&amp;RUN</dc:subject>
          <dc:subject>RNA-seq</dc:subject>
          <dc:subject>Chondrocytes</dc:subject>
          <dc:subject>Quality Control</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;&lt;b&gt;Supplementary Tables for: Presentation of Matched Epigenomic and Transcriptomic Maps Derived from Primary Chondrocytes&lt;/b&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;This Excel workbook contains the supplementary tables supporting Chapter 3, &lt;i&gt;Presentation of Matched Epigenomic and Transcriptomic Maps Derived from Primary Chondrocytes&lt;/i&gt;. The tables provide the complete metadata, quality-control metrics, benchmarking datasets, and analytical outputs underpinning the generation and validation of a comprehensive multi-omic resource comprising ATAC-seq, CUT&amp;RUN, Hi-C and RNA-seq data from primary osteoarthritis (OA) chondrocytes isolated from matched intact and degraded cartilage.&lt;/p&gt;&lt;p dir="ltr"&gt;The supplementary tables document the quality assessment, biological validation, and reference-based comparisons used to establish the robustness and biological relevance of the generated molecular maps. These resources support the creation of disease-relevant chromatin accessibility, histone modification, chromatin conformation, and transcriptomic datasets for downstream investigation of osteoarthritis regulatory mechanisms and functional interpretation of genetic risk loci.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-21T14:45:01Z</dc:date>
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