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The Human Microbiome Project, which is sequencing the microbial populations in the human digestive tract, has generated about a million times as much sequence data as a single human genome, said C. Titus Brown, a bioinformatics specialist at Michigan State University.
How much sequence data would be necessary to resolve internodes of this length using microinversions?
On one hand, we wanted to utilize as much sequence data as presently available.
While it would be helpful to know exactly how much sequence data is needed to completely cover a mt genome, this cannot be easily quantified.
This list contains one window for each HSP, the window that surrounds the subject range of the HSP, including 600 bases to the left and right of the subject range if that much sequence data is available.
To determine how much sequence data would be necessary to resolve each of the basal nodes we simulated datasets of 10 kb, 12 kb, and 14 kb based on the best tree, using the same sequence parameters of the original combined dataset.
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The lower cost, along with increasing speed, has led to a huge increase in how much sequencing data is being produced.
How much sequencing data are needed of each library types and insert size depends critically on a number of factors including the size and repeat content of the genome, the degree of heterozygosity and the target quality of the assembly (Sims et al. 2014).
Our phylogeny, generated using much less sequence data, is very similar to that of Miya et al. [22].
The resulting trees (Figure S1A, B) are not fully resolved indicated by bootstrap values below 95%, but do not contradict other reconstructions of primate phylogeny that use much more sequence data [21].
Much like sequence data, this stored gene expression information can be used in a multitude of creative ways.
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