Protein Sequence Similarity Search Suitable for Parallel Implementation

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Protein Sequence Similarity Search Technique Suitable for Parallel Implementation

Having entered the post genomic era, there lies a plethora of information, both genomic and proteomic. This provides quite a lot of resources so that the computational and machine learning strategies be applied to address the problems of biological relevance. Searching in biological databases for similar or homologous sequences is a fundamental step for many bioinformatics tasks. On discovery o...

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Protein Sequence Similarity Search Suitable for Parallel Implementation

Having entered the post genomic era, there lies a plethora of information, both genomic and proteomic. This provides quite a lot of resources so that the computational and machine learning strategies be applied to address the problems of biological relevance. Searching in biological databases for similar or homologous sequences is a fundamental step for many bioinformatics tasks. On discovery o...

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A Massively Parallel Sequence Similarity Search for Metagenomic Sequencing Data

Sequence similarity searches have been widely used in the analyses of metagenomic sequencing data. Finding homologous sequences in a reference database enables the estimation of taxonomic and functional characteristics of each query sequence. Because current metagenomic sequencing data consist of a large number of nucleotide sequences, the time required for sequence similarity searches account ...

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PROCAIN server for remote protein sequence similarity search

UNLABELLED Sensitive and accurate detection of distant protein homology is essential for the studies of protein structure, function and evolution. We recently developed PROCAIN, a method that is based on sequence profile comparison and involves the analysis of four signals--similarities of residue content at the profile positions combined with three types of assisting information: sequence moti...

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Comparative accuracy of methods for protein sequence similarity search

MOTIVATION Searching a protein sequence database for homologs is a powerful tool for discovering the structure and function of a sequence. Two new methods for searching sequence databases have recently been described: Probabilistic Smith-Waterman (PSW), which is based on Hidden Markov models for a single sequence using a standard scoring matrix, and a new version of BLAST (WU-BLAST2), which use...

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ژورنال

عنوان ژورنال: International Journal of Computer Applications

سال: 2012

ISSN: 0975-8887

DOI: 10.5120/7935-1246