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Exact(7)
In our implementation, we choose this length, denoted Ntot, to be the mean insert length plus the standard deviation of the short-insert library.
The insert statistics were estimated by aligning the remaining reads uniquely to the transcriptome and calculating the mean insert length and SD.
Small library fragments were removed using the BluePippin (Sage Science, Beverly, MA, USA), resulting in an estimated mean insert length of 8.4 kbp.
Important quality parameters are the number of independent clones before and after amplification, the number of clones that contain an insert and the mean insert length.
With such high clonal coverage we have significant power to detect evidence of discordant mate-pair reads, where the length of the insert deviates substantially from the mean insert length and/or map to different chromosomes or chromosomal regions.
In the detection of such short indels, the deviations from mean insert length are measured, and thus, the sequencing coverage required to arrive at statistical significance is inversely proportional to the indel length.
Similar(53)
Many of these steps led to minor increases in mean insert size, but ultimately were not sufficient to provide mean insert lengths ≥100 kb.
Average insert lengths were determined by screening at least 300 inserts per library.
Although the mean of the insert length is 1000, the corresponding gap length in the read matrix is very small because only heterozygous SNPs are considered for assembly.
To evaluate the effects of these parameters on the assembly process, we first divide the haplotypes into blocks with distances >1 SD above the sum of the mean of the insert length (we use 1000).
The short reads were aligned back onto the assembled transcripts and the analysis revealed that, 97.76 % of all the transcripts were quantified with mean coverage and insert length of 348.8 and 257.74 respectively.
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