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In a detailed correlative analysis between histone marks and MYC binding in vivo, it was established that this TF is always associated with a specific context of H3K4me3 and H3K79me2.
10.7554/eLife.06205.011 Figure 4. Correlation between histone marks and DNA methylation.
There have been previous attempts to establish a general relation between histone marks and splicing regulation [ 57- 60].
Aberrations in PTM relative abundance have been found in several diseases [ 6, 7], which highlights the direct link between histone marks and cell phenotype.
Studies have shown that such crosstalk between histone marks can both positively and negatively regulate binding and catalytic activity of writers, resulting in positive and negative feedback loops.
We have shown how this methodology can outperform ordinary correlation measurements to uncover correlations between histone marks that are similarly regulated but which do not directly co-localize.
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As a control, overlaps between histone mark peaks with random set of genomic positions that matched the number of ZLD peaks are shown.
We first convert the correlation matrix C to a distance measure matrix D. (2) D ij = 1 − C ij Where C ij is the maximal cross correlation between histone mark i and j.
Finally, we convert the distance matrix back to the correlation matrix C′. (4) C ij ′ = 1 _ all _ pair _ shortest _ path D ij ′ where C ij ′ is the updated cross correlation between histone mark i and j.
Then we adjust the distance matrix by incorporating MS-derived prior co-occurrence probabilities, (3) D ij ' = (1 − P ij ) × D ij where P ij is the prior probability of co-occurrence between histone mark i and j.
First, the relationship between different histone marks and the activity of enhancers is not perfectly understood.
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CEO of Professional Science Editing for Scientists @ prosciediting.com