{"id":1797,"date":"2026-04-30T13:17:22","date_gmt":"2026-04-30T13:17:22","guid":{"rendered":"https:\/\/pm11.corsivalab.xyz\/sciencewerke\/accuracy-of-element-biosciences-avidity-sequencing\/"},"modified":"2026-04-30T13:17:23","modified_gmt":"2026-04-30T13:17:23","slug":"accuracy-of-element-biosciences-avidity-sequencing","status":"publish","type":"post","link":"https:\/\/pm11.corsivalab.xyz\/sciencewerke\/accuracy-of-element-biosciences-avidity-sequencing\/","title":{"rendered":"Accuracy of Element Biosciences Avidity Sequencing"},"content":{"rendered":"
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Arslan, Sinan, Francisco J. Garcia, Minghao Guo, et al., \u201cSequencing by avidity enables high accuracy with low reagent consumption,\u201d Nature Biotechnology (May 2023). <\/p>\n

Click here to read more.<\/a><\/p>\n<\/div>\n<\/div>\n

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#1. Accuracy of Element Biosciences Avidity Sequencing<\/strong><\/p>\n

To evaluate the accuracy of avidity sequencing, 20 sequencing runs were performed using a well-characterized human genome. Combined over reads 1 and 2, 96.2% of base calls were >Q30 (an average of one error per 1,000 bp) and 85.4% >Q40, with a maximum of Q44, or approximately one error in 25,000 bases. <\/p>\n

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Fig. 3 | Predicted and observed quality scores for a 2 \u00d7 150-bp sequencing run of human genome HG002<\/strong>. a<\/strong>, Read 1 (R1). b<\/strong>, Read 2 (R2). Points on the diagonal indicate that predicted scores match observed scores. The histograms show that the majority of the data points are >Q40.<\/p>\n

#2. Substantial improvements in accuracy across difficult-to-sequence regions compared to Illumina.<\/strong><\/p>\n

Sequencing through long homopolymers has posed challenges for multiple sequencing technologies. Figure 4 shows the results comparing avidity sequencing with SBS, averaged across the ~700,000 homopolymer loci of length 12 or more. Average error rate of avidity sequencing remained stable following a long homopolymer (controlling for the fact that post-homopolymer stretch occurs in later cycles of a read). By contrast, the error rate of SBS reads increased by more than a factor of five following homopolymer stretches. The avidity sequencing error rate outperformed SBS in >97% of cases and the magnitude of difference is correlated with homopolymer length (Fig. 5). <\/p>\n

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Fig. 4 | Post-homopolymer performance across platforms<\/strong>. Mismatch percentages of AVITI, NovaSeq 6000 and NextSeq 2000 reads before and after homopolymers of length 12 or greater.<\/p>\n

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Fig. 5 | Comparison of mismatch rate following homopolymers of length between four and 29<\/strong>. Mismatch percentage difference between avidity sequencing and SBS increases with homopolymer length. The box plot shows median, quartiles and whiskers, which are 1.5\u00d7 interquartile range.<\/p>\n

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Carroll, Andrew, Alexey Kolesnikov, Daniel E. Cook, et al., \u201cAccurate human genome analysis with Element Avidity sequencing,\u201d bioRxiv (August 2023)<\/p>\n

Click here to read more.<\/a><\/p>\n<\/div>\n<\/div>\n

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Element data achieves greater variant calling accuracy over a range of coverages, with especially improved accuracy in the 20x-30x coverage range. We identify certain sequence contexts in which Element outperforms Illumina reads, including in tandem repeats and homopolymers, as measured by soft-clipping rates.<\/p>\n

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Proportion of soft-clipped bases in Element and Illumina reads across the genome and in repetitive regions.<\/p>\n

Click here<\/a> to learn more about the AVITI\u2122 System.<\/p>\n

For more information on Element Biosciences and the AVITI\u2122 System, feel free to reach out to any Sciencewerke representatives at enquiry@sciencewerke.com<\/a> or call : 6777 1045<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Arslan, Sinan, Francisco J. Garcia, Minghao Guo, et al., \u201cSequencing by avidity enables high accuracy with low reagent consumption,\u201d Nature Biotechnology (May 2023). Click here to read more. #1. Accuracy of Element Biosciences Avidity Sequencing To evaluate the accuracy of avidity sequencing, 20 sequencing runs were performed using a well-characterized human genome. Combined over reads […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[164],"tags":[],"class_list":["post-1797","post","type-post","status-publish","format-standard","hentry","category-164"],"_links":{"self":[{"href":"https:\/\/pm11.corsivalab.xyz\/sciencewerke\/wp-json\/wp\/v2\/posts\/1797","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pm11.corsivalab.xyz\/sciencewerke\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pm11.corsivalab.xyz\/sciencewerke\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pm11.corsivalab.xyz\/sciencewerke\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/pm11.corsivalab.xyz\/sciencewerke\/wp-json\/wp\/v2\/comments?post=1797"}],"version-history":[{"count":1,"href":"https:\/\/pm11.corsivalab.xyz\/sciencewerke\/wp-json\/wp\/v2\/posts\/1797\/revisions"}],"predecessor-version":[{"id":2010,"href":"https:\/\/pm11.corsivalab.xyz\/sciencewerke\/wp-json\/wp\/v2\/posts\/1797\/revisions\/2010"}],"wp:attachment":[{"href":"https:\/\/pm11.corsivalab.xyz\/sciencewerke\/wp-json\/wp\/v2\/media?parent=1797"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pm11.corsivalab.xyz\/sciencewerke\/wp-json\/wp\/v2\/categories?post=1797"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pm11.corsivalab.xyz\/sciencewerke\/wp-json\/wp\/v2\/tags?post=1797"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}