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Indeed, recent population genomic studies and increasing sequence data show that gains are still occurring [ 31, 32].
The genetic basis underlying these morphological novelties is not fully understood, but increasing sequence data is providing clues to these questions.
Analysing ever increasing sequence data in silico first and identifying a small number of mutations that are more likely to be involved in diseases for further analysis or experimental characterization is an important task in today's genetic and genomic studies.
Our study further supports previous empirical and theoretical studies [ 3- 7], that increasing sequence data can improve phylogenetic resolution, even in species known to have undergone rapid radiation in the recent past, and can help to discriminate between hard and soft polytomies.
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This difference might originate from the decreasing quality of increasing sequencing data.
Therefore, we created a new dataset with greatly increased sequence data by aligning the genomes of the 13 strains for which genome sequencing has either been completed or is near completion, giving 1.5 Mb of aligned sequence (Figure 1).
Numbers of reads for a given sequence methodology have been empirically ascertained, beyond which increased sequence data yield little or no further variant information [ 1].
To solve the problem for gaining more accurate data, the one way is to increase sequencing data by doubling lanes.
However, increasing sequencing coverage and incorporating Illumina data yielded a better genome assembly than either the Sanger only [18], or 454 only data.
By simulating increasing sequencing noise for all exome data sets of the 1000 genomes, we derived distributions for the mean distances of the original data.
Our work therefore tremendously increased the sequence data available for A. myosuroides.
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