Supporting Information for “Evolutionary profiles from the QR factorization of multiple sequence alignments”
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چکیده
منابع مشابه
Evolutionary profiles derived from the QR factorization of multiple structural alignments gives an economy of information.
We present a new algorithm, based on the multidimensional QR factorization, to remove redundancy from a multiple structural alignment by choosing representative protein structures that best preserve the phylogenetic tree topology of the homologous group. The classical QR factorization with pivoting, developed as a fast numerical solution to eigenvalue and linear least-squares problems of the fo...
متن کاملEvolutionary profiles from the QR factorization of multiple sequence alignments.
We present an algorithm to generate complete evolutionary profiles that represent the topology of the molecular phylogenetic tree of the homologous group. The method, based on the multidimensional QR factorization of numerically encoded multiple sequence alignments, removes redundancy from the alignments and orders the protein sequences by increasing linear dependence, resulting in the identifi...
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The evolutionary rate at codon sites across protein-coding nucleotide sequences represents a valuable tier of information for aligning sequences, inferring homology and constructing phylogenetic profiles. However, a comprehensive resource for cataloguing the evolutionary rate at codon sites and their corresponding nucleotide and protein domain sequence alignments has not been developed. To addr...
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Introduction: Acinetobacter baumannii is associated with hospital-acquired infections. Outer membrane protein A of A.baumannii (AbOmpA) is a well-characterized virulence factor which has important roles in pathogenesis of this bacterium. Methods: Based on our PCR-sequencing of ompA gene in the clinical isolates, AbOmpA protein can be categorized into two types, named here type-1 and type-2. We ...
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MOTIVATION Evolutionary comparison leads to efficient functional characterisation of hypothetical proteins. Here, our goal is to map specific sequence patterns to putative functional classes. The evolutionary signal stands out most clearly in a maximally diverse set of homologues. This diversity, however, leads to a number of technical difficulties. The targeted patterns-as gleaned from structu...
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تاریخ انتشار 2005