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. 2021 Mar 27;49(12):e67. doi: 10.1093/nar/gkab199

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© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 6. — Precision of estimation by k-Seq. (A) Fold-range (97.5-percentile/2.5-percentile) of estimation depended on the mean counts. Increasing mean counts increases precision, as shown by the relationship of fold-range with mean counts across different orders of mutants. For , only 1000 sequences were randomly selected for visualization. (B) Alignment between estimated from two independently conducted experiments (experiment from (2), and the k-Seq experiment reported here). Only sequences with 2.5-percentile higher than baseline catalytic coefficient (, reported in (2)) were included. Each point represents a sequence whose color reflects the minimum of mean counts (between two experiments).

Inline graphic — Precision of estimation by k-Seq. (A) Fold-range (97.5-percentile/2.5-percentile) of estimation depended on the mean counts. Increasing mean counts increases precision, as shown by the relationship of fold-range with mean counts across different orders of mutants. For , only 1000 sequences were randomly selected for visualization. (B) Alignment between estimated from two independently conducted experiments (experiment from (2), and the k-Seq experiment reported here). Only sequences with 2.5-percentile higher than baseline catalytic coefficient (, reported in (2)) were included. Each point represents a sequence whose color reflects the minimum of mean counts (between two experiments).