Sentence examples for computing sequence from inspiring English sources

In the following subsections, we give the details for computing sequence and gene context similarity scores and explain how to combine them to compute bidirectional best hits.

In computing sequence similarity, we compared the sequences with and without the identified converted region to exclude the contribution of converted sequence to the overall score.

We show that a simple reciprocal best hit method identified orthologs with sufficient reliability for the purposes of computing sequence diversity.

And, as with most such things, we have a creation myth – which starts with Alan Turing and his idea of "a single machine that can be used to compute any computable sequence" and then forks into two versions.

For given compute sequence by the following iterative scheme: (3.18).

Most phylogeny [20], [21], community distance estimates [11], [22], and abundance distributions [23] [25] ultimately rely on input from a multiple alignment to compute sequence distances within a consistent alignment template.

As part of the clustering step, Denoiser computes sequence alignments of flowgrams.

We computed sequence similarities between proteins using a normalized version of Smith Waterman scores (Smith and Waterman, 1981).

InParanoid which uses BLAST to compute sequence similarity does significantly worst that BBH using normalized Smith-Waterman alignment scores.

We used this tool with the BLOSUM50 scoring matrix to compute sequence similarity of protein pairs in humans and yeast.

The limitation of the original CE and FATCAT algorithms is that they compute sequence order-dependent alignments.