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        <identifier>oai:figshare.com:article/33752671</identifier>
        <datestamp>2026-09-14T19:25:11Z</datestamp>
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          <dc:title>PAGODA dataset</dc:title>
          <dc:creator>Chenling Xu (10513421)</dc:creator>
          <dc:creator>Ziwei Zhong (5983388)</dc:creator>
          <dc:creator>Sean Patrick Leonard (23673614)</dc:creator>
          <dc:subject>Industrial molecular engineering of nucleic acids and proteins</dc:subject>
          <dc:subject>Bioinformatic methods development</dc:subject>
          <dc:subject>essential genes</dc:subject>
          <dc:subject>overlapping genes</dc:subject>
          <dc:subject>dynamic programming</dc:subject>
          <dc:subject>sequence design</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This dataset contains computational design outputs and experimental screening results associated with PAGODA, a method for designing partially overlapping protein-coding sequences. The files link sequence designs and Potts model scores to enrichment measurements and plate-based growth assessments.&lt;/p&gt;&lt;p dir="ltr"&gt;The dataset includes five CSV files:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;b&gt;hisI_purE_enrichment.csv&lt;/b&gt; — 200 records for hisI–purE designs, including nucleotide sequences, frame and overlap annotations, gene-specific enrichment measurements, recomputed Potts scores, and insertion, deletion, and substitution counts.&lt;/li&gt;&lt;li&gt;&lt;b&gt;purE_hisI_enrichment.csv&lt;/b&gt; — 200 records for the reverse gene order, purE–hisI, with the same design annotations and enrichment measurements.&lt;/li&gt;&lt;li&gt;&lt;b&gt;ilvE_gltA_enrichment.csv&lt;/b&gt; — 445 records for ilvE/gltA designs in both gene orders. Includes sequence and library-design information, primers, Potts scores, condition-specific counts and enrichment values across three replicates, and summary enrichment statistics.&lt;/li&gt;&lt;li&gt;&lt;b&gt;purE_hisI_plate.csv&lt;/b&gt; — Growth assessments for 24 purE–hisI designs under no supplementation, histidine supplementation, and adenine supplementation at 24 and 96 hours, together with functional classifications.&lt;/li&gt;&lt;li&gt;&lt;b&gt;screen_results.sample.csv&lt;/b&gt; — A sample of 99 computational screening records across multiple gene pairs, including designed nucleotide sequences, initial and optimized protein sequences, sequence coordinates, overlap lengths, scores, insertion/deletion annotations, and design parameters.&lt;/li&gt;&lt;li&gt;&lt;b&gt;screen_results.csv&lt;/b&gt; — The full result in the same format as the &lt;b&gt;screen_results.sample.csv&lt;/b&gt; &lt;/li&gt;&lt;/ul&gt;&lt;p dir="ltr"&gt;Files are provided in comma-separated format and can be opened using spreadsheet software or standard data-analysis tools. Blank entries indicate values not provided in the files and should not be interpreted as zero. Associated code is available at &lt;a href="https://github.com/BiosecSFA/PAGODA" target="_blank"&gt;https://github.com/BiosecSFA/PAGODA&lt;/a&gt;.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-14T19:25:11Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.6084/m9.figshare.33752671.v1</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/PAGODA_dataset/33752671</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
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