Sentence examples for based on multiple sequence from inspiring English sources

The first category encompasses sequence-based methods, generally based on multiple sequence alignments and incorporating different approaches to quantify the conservation of a residue during evolution.

As with the previous dataset, the classical approach based on multiple sequence alignment performed best; this time the difference between alignment-based and alignment-free methods was larger.

The method is based on multiple sequence alignment of the query sequence with all other sequences with known structure from the protein data bank (PDB) by using BLAST.

PhastCons score employed in this study provides an estimate of the individual nucleotide level conservation, calculated based on multiple sequence alignment of 46 vertebrate genomes with respect to mouse reference genome mm10.

Based on multiple sequence alignment performed for Class I peroxidases, we present a hypothesis for the pronounced catalase activity of KatGs.

All identified microsatellites with designed primers were condensed into 2322 unique clusters (i.e., unique loci) of which 360 were shown to be polymorphic based on multiple sequence reads with different repeat motifs.

Although the structure of XylC or any of the other xylanases has not been determined, it is expected to have a β-jellyroll structure based on multiple sequence alignment and molecular weight analyses.

We first use state-of-the-art bioinformatics approaches based on multiple sequence alignment across the whole family of GPCRs.

These profiles were based on multiple sequence alignments and profile-hidden Markov models from the 'Pfam' protein family database [13].

The eIF2Bα structure and the eIF2Bβ and -δ models were colored by conservation with the help of ProtSkin, based on multiple-sequence alignments of ∼50 to ∼90 sequences with <90% pairwise sequence identity.

However, further analysis with peptide collections based on multiple unrelated sequence templates may be necessary to establish clear substrate sequence recognition motifs.