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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.
Hence, earlier TMH prediction programs, such as TOP-PRED [1], compute sequence hydrophobicity from amino acid hydrophobicity scales assigned by biophysical and chemical measurements [2] [4], and predict TMH propensity based on the average hydrophobicity score of a sliding prediction window of N successive residues along the sequence.
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.
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The optimization was performed using optimization of rotamers by iterative techniques (ORBIT), a protein design program that utilizes a physically based force field and the Dead-End Elimination theorem to compute sequences that are optimal for a given protein scaffold.
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.
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).
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.
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