Sentence examples for multiple sequence information from inspiring English sources

Recently, advanced methods have extended the profile strategy to considering multiple sequence information on both sides, target and template, to improve performance [15].

Here, to demonstrate the method we have considered only pairwise alignment, but multiple sequence information should further improve results.

These links were selected as they may in addition support automated correlation with additional genomic information such as multiple sequence information, microarray expression data, conserved domains, as well as information on a gene's function.

Probcons [ 7] and Probalign [ 8] use a probabilistic consistency transformation step to incorporate multiple sequence conservation information during pairwise alignment, thus providing information that can be used to guide the progressive alignment.

This may be due to the probabilistic consistency-based objective function used in Probcons, which incorporates multiple sequence conservation information during the alignment of pairs of sequences.

Whereas tools such as SIFT, PolyPhen, and Align-GD Adzhubei et al., 2010; Ng and Henikoff, 2006; Tavtigian et al., 2006 cannot score regions lacking multiple sequence alignment information, VAAST 2.0 suffers from no such limitation.

To what extent can inter-residue contact predictions from multiple sequence alignments, information which is orthogonal to that used in most structure prediction algorithms, be used to identify those models most similar to the native protein structure?

The two functional classes of plant acyl-ACP thioesterases (unsaturated fatty acid-recognizing Fat A versus saturated fatty acid-recognizing FatB) are well-defined in phylogenetic trees constructed from multiple sequence alignment information (the.msf file is provided [see Additional file 1]).

nsSNPAnalyzer uses information contained in the multiple sequence alignment and information contained in the 3D structure to make predictions.

To minimize this problem, we used a multiple sequence alignment with information of only the OS-E and OS-F genes.

By applying Markov clustering methods to multiple metagenomic datasets sequence information can be used to determine an overall evolutionary distance between whole communities.