NEW METHOD FOR YEAST IDENTIFICATION USING BURROWS–WHEELER TRANSFORM-Reference-Cited by-同舟云学术

NEW METHOD FOR YEAST IDENTIFICATION USING BURROWS–WHEELER TRANSFORM

Published:2008-04 Issue:02 Volume:06 Page:403-413
ISSN:0219-7200
Container-title:Journal of Bioinformatics and Computational Biology
language:en
Short-container-title:J. Bioinform. Comput. Biol.

Author:

POKRZYWA RAFAL¹

Affiliation:

1. Department of Computer Science, Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, Poland

Abstract

The explosive growth in biological data in recent years has led to the development of new methods to identify DNA sequences. Many algorithms have recently been developed that search DNA sequences looking for unique DNA sequences. This paper considers the application of the Burrows–Wheeler transform (BWT) to the problem of unique DNA sequence identification. The BWT transforms a block of data into a format that is extremely well suited for compression. This paper presents a time-efficient algorithm to search for unique DNA sequences in a set of genes. This algorithm is applicable to the identification of yeast species and other DNA sequence sets.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Science Applications,Molecular Biology,Biochemistry

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0219720008003412

Reference6 articles.

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3. Fungal Identification Method Based on DNA Sequence Analysis: Reassessment of the Methods of the Pharmaceutical Society of Japan and the Japanese Pharmacopoeia

4. The D1/D2 domain of the large-subunit rDNA of the yeast species is unusually polymorphic

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