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      PowerBLAST: a new network BLAST application for interactive or automated sequence analysis and annotation.

      Genome research
      Amino Acid Sequence, Base Sequence, Classification, Computer Communication Networks, Information Systems, Molecular Sequence Data, Repetitive Sequences, Nucleic Acid, Sequence Alignment, Sequence Analysis, DNA, methods, Software

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          Abstract

          As the rate of DNA sequencing increases, analysis by sequence similarity search will need to become much more efficient in terms of sensitivity, specificity, automation potential, and consistency in annotation. PowerBLAST was developed, in part, to address these problems. PowerBLAST includes a number of options for masking repetitive elements and low complexity subsequences. It also has the capacity to restrict the search to any level of NCBI's taxonomy index, thus supporting "comparative genomics" applications. Postprocessing of the BLAST output using the SIM series of algorithms produces optimal, gapped alignments, and multiple alignments when a region of the query sequence matches multiple database sequences. PowerBLAST is capable of processing sequences of any length because it divides long query sequences into overlapping fragments and then merges the results after searching. The results may be viewed graphically, as a textual representation, or as an HTML page with links to GenBank and Entrez. For matching database sequences, annotated features are superimposed on the aligned query sequence in the output, thus greatly increasing the ease of interpretation. Such features may be used for automated annotation of new sequence because PowerBLAST output in ASN.1 form may be "dragged and dropped" into NCBI's Sequin program for sequence annotation and submission. PowerBLAST is capable of analyzing and annotating a 100-kb query in 60 min on NCBI's BLAST server.

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          Most cited references14

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          Basic Local Alignment Search Tool

          S Altschul (1990)
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            Issues in searching molecular sequence databases.

            Sequence similarity search programs are versatile tools for the molecular biologist, frequently able to identify possible DNA coding regions and to provide clues to gene and protein structure and function. While much attention had been paid to the precise algorithms these programs employ and to their relative speeds, there is a constellation of associated issues that are equally important to realize the full potential of these methods. Here, we consider a number of these issues, including the choice of scoring systems, the statistical significance of alignments, the masking of uninformative or potentially confounding sequence regions, the nature and extent of sequence redundancy in the databases and network access to similarity search services.
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              The origin of interspersed repeats in the human genome.

              Arian Smit (1996)
              Over a third of the human genome consists of interspersed repetitive sequences which are primarily degenerate copies of transposable elements. In the past year, the identities of many of these transposable elements were revealed. The emerging concept is that only three mechanisms of amplification are responsible for the vast majority of interspersed repeats and that with each autonomous element a number of dependent non-autonomous sequences have co-amplified.
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