Literature DB >> 15567185

On exact string matching of unique oligonucleotides.

Heikki Hyyrö1, Martti Juhola, Mauno Vihinen.   

Abstract

Unique, gene-specific oligonucleotides are used for many genetic investigations such as polymerase chain reaction, gene cloning, microarray technology and antisense DNA studies. It is a computationally demanding task to extract these oligonucleotides from DNA databases. We studied the problem from the point of view of the string matching problem. We implemented and tested several exact string matching algorithms and modified the implementations to be as effective as possible. Ten different implementations were tested on yeast genomic sequence data. The run times for the best algorithms were significantly improved compared to conventional approaches, while in principle, i.e. in respect of theoretical time complexity, these algorithms do not actually differ essentially from each other.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15567185     DOI: 10.1016/j.compbiomed.2003.11.003

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  2 in total

1.  A method for automatically extracting infectious disease-related primers and probes from the literature.

Authors:  Miguel García-Remesal; Alejandro Cuevas; Victoria López-Alonso; Guillermo López-Campos; Guillermo de la Calle; Diana de la Iglesia; David Pérez-Rey; José Crespo; Fernando Martín-Sánchez; Víctor Maojo
Journal:  BMC Bioinformatics       Date:  2010-08-03       Impact factor: 3.169

2.  Accelerating string set matching in FPGA hardware for bioinformatics research.

Authors:  Yoginder S Dandass; Shane C Burgess; Mark Lawrence; Susan M Bridges
Journal:  BMC Bioinformatics       Date:  2008-04-15       Impact factor: 3.169

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.