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A similar distribution of unigenes in different base percentage coverage class is observed for 21 pooled mutants with minimum depth of 10 reads (Fig. 2c).
To account for the variation in allelic coverage in the D. melanogaster genomes, Tajima's D (Tajima 1989) was calculated as the sum of Tajima's D for each allelic coverage class normalized by the square root of the number of allelic classes.
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We applied this algorithm to all 725 monkeys, assigning the 620 monkeys not yet sequenced to different sequencing coverage classes based on the ranking.
Results were summarized as percentage sequence coverage for Class I and Class II transposons for each BAC/TAC using Perl.
In spite of these promising potential applications, experimental information on peptide-MHC binding specificities is limited in coverage since class II MHC is highly polymorphic and the space of peptide sequences is enormous.
Chromosome 3 had a higher coverage of Class I, RNA-mediated TEs than chromosome 2 (26.5% versus 28.1%, P = 2×10−2).
With this tool in hand, maintainers can perform at least two main actions for improving software quality: (a) refactoring the source code properties that Granger-caused bugs and (b) improving unit tests coverage in classes with more bugs.
Table 3 Factorial ANOVA for the five largest individuals within each coverage-distance class Sum of squares Degrees of freedom Mean squares F p value Vegetation type 573.4 2 286.7 56.89 8E−10 Distance to propagule source 213.3 1 213.3 42.34 1E−06 Interaction 443.6 2 221.8 44.01 9E−09 The group has five individuals with the highest diameters at breast height.
With the results provided by the tool in hand, a maintainer can perform at least two main software quality assurance activities: (a) refactoring the source code properties that Granger-caused bugs and (b) improving unit tests coverage in classes with more bugs.
Models with 60-100% transcript coverage were classed as high-confidence, those with 20-60% as low-confidence, and the remainder were eliminated.
Finally, for 5-way and 8-way alignment datasets, we measure the equivalence class coverage and the node coverage, where the former is the number of equivalence classes that include nodes from k different networks, and the latter is the number of nodes in an equivalence class whose equivalence class coverage is k.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com