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(d) Scatter plot showing tag density of ATAC-seq and Trac-looping in fixed cells at promoters (left; n=8,098), enhancers (middle; n=18,425) and CTCF sites (right; n=12,906).
We calculated the tag density of a genomic position as the number of tags that cover the position.
This observation was strengthened by comparing the cumulative distribution of sequence tag density of each chromosome with that predicted by the Poisson distribution (Figure 2C). Figure 3A contains plots of the distribution of normalized sequence tag density for each chromosome (excluding chromosome Y) within each patient sample.
Generally, RNAseq tag density of 1 2 M reads is good enough for miRNA expression profiling and, a tag density of 2 5 M reads is sufficient for discovery applications.
The tag density of each ChIP-seq in a 200 bp window was calculated and plotted against distance from the center.
The region from −5KB to +5KB relative to the TSS was divided into 200 bp windows and the average tag density of the subdivided promoters was computed.
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Then, we measured ChIPed-tag density of all 29 ChIP-seqs around the center of the top 1,000 highest peaks (+/− 1.5 kb flanking regions) in six representatives of the different cell types.
The weighted number of sequence tag within every 50 kb non-overlapping window was then summed to obtain the distribution of sequence tag density for each chromosome.
Firstly, we adopted the tag density for a threshold instead of the raw tag counts to identify narrow peaks.
We analyzed signal and noise using admittedly unattractive but unbiased displays and statistics of the sequencing tag density profiles of the genome.
The genome-wide tag density profile of HSC45 cells was determined using a total of 5,462 unique real tags.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com