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To counterbalance this bias, we constructed a sample III by which sequences were subjected to a neutral evolution process accounting for potential compensatory mutations (also L mutations).
Studies of molecular evolution typically wish to infer the patterns by which sequences change over time, using those changes to reveal evolutionary relationships (Felsenstein 2003), patterns of selection acting upon genes (Yang 2006), or other biologically informative quantities (Galtier and Gouy 1998; Whelan et al. 2011; Liberles et al. 2012).
The criteria by which sequences were eliminated from this analysis was the length of flanking regions, determined by the distance from LCRs to the protein termini, or, in examples where there were multiple LCRs per gene, by the distance between LCRs.
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Usually there are many bolts in an end-plate connection, so it becomes a problem by which sequence the bolts should be tightened.
This leads to an intriguing question: what is the evolutionary mechanism by which sequence variations produce structural changes?
The entropy of an alignment site is a measure of variation in its state and a criterion by which sequence conservation can be objectively quantified: entropy is zero at invariant sites and has a maximum value of one when all possible states (residues) occur equally frequently (or proportional to the background composition).
Moreover, the original row-wise sequences are also stored into an optimized column-wise data structure in texture memory, by which sequence data can be cached and sequentially read by 32 threads in a warp within a single memory transaction.
Several studies have suggested that the functional diversity of CTCF is associated with its sequence variations [ 11, 12], but the mechanism by which sequence variation determines its function remains unexplored.
The mechanism by which sequence elements like the LTRs of IAPs and the DMRs of imprinted regions are able to conserve their methylation status through reprogramming events is not yet fully clear.
Furthermore, we have also clarified the flagellin TLR5 activation sequence figure by rearranging the sequences according to similarity in the TLR5 activation region and by indicating which sequences we predict by sequence similarity to be recognized by TLR5.
We interpret an (wide scope) existential quantifier by determining which sequences of individuals satisfy the formula containing it.
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CEO of Professional Science Editing for Scientists @ prosciediting.com