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          <dc:title>&lt;p&gt;Recall and false discovery rates for variants at 5%, 10%, 15%, and 19% frequencies across Phred score scalar adjustments. Plasmid truth sets normalised to 2,000 × depth (n = 12 subsampling replicates per condition; df = 11, t-critical = 2.201). The Control row is a technical duplicate of the Uncalibrated condition, confirmed by identical VCF hash signatures. Phred score reduction removes all false positives at −8 on both chemistries. Variants at 15% AF and below are adversely affected by Phred reduction on R9.4.1 flow cells, while only 5% AF variants are affected on R10.4.1 flow cells. CI = 95% confidence interval; FDR = false discovery rate.&lt;/p&gt;</dc:title>
          <dc:creator>Xavier Zair (25317383)</dc:creator>
          <dc:creator>Andreas Wilm (7951)</dc:creator>
          <dc:creator>Miles C. Benton (9601012)</dc:creator>
          <dc:creator>Cheng Yong Tham (8528523)</dc:creator>
          <dc:creator>Lin Yang (45852)</dc:creator>
          <dc:creator>Paola Florez de Sessions (9048782)</dc:creator>
          <dc:creator>October Michael Sessions (6635093)</dc:creator>
          <dc:creator>Eng Hui Chew (25317386)</dc:creator>
          <dc:creator>Swapnil Mishra (8611860)</dc:creator>
          <dc:subject>Biochemistry</dc:subject>
          <dc:subject>Genetics</dc:subject>
          <dc:subject>Molecular Biology</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Evolutionary Biology</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Information Systems not elsewhere classified</dc:subject>
          <dc:subject>Cancer</dc:subject>
          <dc:subject>Infectious Diseases</dc:subject>
          <dc:subject>Virology</dc:subject>
          <dc:subject>widely used caller</dc:subject>
          <dc:subject>tracking viral evolution</dc:subject>
          <dc:subject>sequenced using r9</dc:subject>
          <dc:subject>oxford nanopore technologies</dc:subject>
          <dc:subject>false discovery rates</dc:subject>
          <dc:subject>benchmarked across chemistries</dc:subject>
          <dc:subject>consensus variant calling</dc:subject>
          <dc:subject>lofreq &amp;# 8217</dc:subject>
          <dc:subject>xlink "&gt; next</dc:subject>
          <dc:subject>1 flow cells</dc:subject>
          <dc:subject>xlink "&gt; lofreq</dc:subject>
          <dc:subject>xlink "&gt;</dc:subject>
          <dc:subject>consensus variants</dc:subject>
          <dc:subject>study assesses</dc:subject>
          <dc:subject>short reads</dc:subject>
          <dc:subject>library sizes</dc:subject>
          <dc:subject>less effective</dc:subject>
          <dc:subject>haploid genomes</dc:subject>
          <dc:subject>generation sequencing</dc:subject>
          <dc:subject>effective sequencing</dc:subject>
          <dc:subject>detecting variants</dc:subject>
          <dc:subject>best performance</dc:subject>
          <dc:subject>also introduced</dc:subject>
          <dc:subject>7179 bases</dc:subject>
          <dc:subject>100 snvs</dc:subject>
          <dc:description>&lt;p&gt;Recall and false discovery rates for variants at 5%, 10%, 15%, and 19% frequencies across Phred score scalar adjustments. Plasmid truth sets normalised to 2,000 × depth (n = 12 subsampling replicates per condition; df = 11, t-critical = 2.201). The Control row is a technical duplicate of the Uncalibrated condition, confirmed by identical VCF hash signatures. Phred score reduction removes all false positives at −8 on both chemistries. Variants at 15% AF and below are adversely affected by Phred reduction on R9.4.1 flow cells, while only 5% AF variants are affected on R10.4.1 flow cells. CI = 95% confidence interval; FDR = false discovery rate.&lt;/p&gt;</dc:description>
          <dc:date>2026-10-05T17:57:18Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.1371/journal.pone.0356259.t001</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/_p_Recall_and_false_discovery_rates_for_variants_at_5_10_15_and_19_frequencies_across_Phred_score_scalar_adjustments_Plasmid_truth_sets_normalised_to_2_000_depth_n_12_subsampling_replicates_per_condition_df_11_t-critical_2_201_The_Control_r/34074146</dc:relation>
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