Sentence examples for alignment metric from inspiring English sources

To illustrate how the transitive alignment metric works, consider the human genome MIR element at hg18 chr10:364, 241-364,409.

We demonstrate significant increase in the alignment accuracy of several well-known distance-based alignment methods, obtained by utilizing the superpositions that rigorously optimize a very simple and intuitive alignment metric, defined as the largest number of residues from the input proteins that can be fit under a predefined distance cutoff.

Initial matrices are computed by maximizing the centered-kernel alignment (CKA) metric, measuring the affinity between projected samples and labels.

In contrast, global biodiversity targets such as those agreed to in the Convention on Biological Diversity (CBD) (6) tend to be less specific, and the alignment of metric, indicator, and target can be poor.

The CAI (Collagen Alignment Indenx) metric is a quantitation of these values and lets us put any given tissue within a range of tissue development over time.

We additionally classified them using the alignment comparison metric (overlap score) as implemented in mumsa version 1.0, 48 which also infers UPGMA dendrograms from these similarity values.

In addition, it is important to score alignments using a metric that is capable of accommodating a wide range of error profiles in order to perform well on queries from diverse sources, including existing (Eid et al., 2009) and future (Schadt et al., 2010) long-read sequencing technologies.

The methods in STAMP can be selected by specifying the column comparison metric and alignment method [7].

The sum of deviation scores in consecutively constrained alignment columns provides a metric of evolutionary constraint, termed a rejected substitution (RS) score.

We previously validated that nuclear alignment is a suitable metric that is highly correlated with cell alignment and that reference is now cited (Baeyens, Mulligan-Kehoe et al., 2014).

The D2z score is an alignment-free sequence comparison metric which compares k-mer word distributions between two sequences [ 37].