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The population anammox genome that was binned from the metagenome consisted of 209 contigs with a total of 3.73 Mbp consensus sequences having 43.3% GC content, and 27.4 average coverage depth.
Finally, clean reads were re-mapped to the draft cp genomes of two Phoebe species, and the mapping ratio were 3.41% for P. chekiangensis and 2.15% for P. bournei, and average coverage depth were 578.2 and 367.1 for P. chekiangensis and P. bournei, respectively.
Another group reported the whole genome analysis of Gallid herpesvirus, and showed that >99.0% coverage was obtained by assembling the raw sequence data to an overall average coverage depth of 13 [13].
As mentioned, in correspondence of false positive calls local coverage was low even when the average coverage depth was high, indicating a direct influence of the mapping procedure on automated identification of variants.
The average coverage depth of the assembly was 96X.
The average coverage depth of the nucleotides of the 8207 SNP markers was 15.4X.
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The shotgun sequence reads from both elements have average coverage depths of ∼9.7 suggesting that they are present in the same number of copies per cell.
At lower average coverage depths, the rate of discovery decreased sensitively and different random samplings gave different results because the number of poorly-covered regions was higher.
Therefore, it is not efficient for huge datasets like those produced in genome-wide methylation analyses with average coverage depths ≥10X and genome size ≥1000 MB.
Our results also suggest that damage patterns associated with aDNA molecules may often have relatively little impact on variant call accuracy at low to moderate average coverage depths.
The trends in homozygous versus heterozygous variant call success in our analyses suggest that the application of population demographic algorithms based on patterns of heterozygosity (for example [ 46, 47]) may be challenging for aDNA samples at low average coverage depths.
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