Oligonucleotide fingerprint identification for microarray-based pathogen diagnostic assays | Zendy

Waibhav Tembe | Zendy; Nela Zavaljevski | Zendy; Elizabeth Bode | Zendy; C. J. Chase | Zendy; Jeanne A. Geyer | Zendy; Leonard P. Wasieloski | Zendy; Gary Benson | Zendy; Jaques Reifman | Zendy

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Oligonucleotide fingerprint identification for microarray-based pathogen diagnostic assays

Author(s) -

Waibhav Tembe,

Nela Zavaljevski,

Elizabeth Bode,

C. J. Chase,

Jeanne A. Geyer,

Leonard P. Wasieloski,

Gary Benson,

Jaques Reifman

Publication year - 2006

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btl549

Subject(s) - identification (biology) , oligonucleotide , microarray , computational biology , fingerprint (computing) , dna microarray , pathogen , biology , genetics , computer science , gene , artificial intelligence , gene expression , botany

Advances in DNA microarray technology and computational methods have unlocked new opportunities to identify 'DNA fingerprints', i.e. oligonucleotide sequences that uniquely identify a specific genome. We present an integrated approach for the computational identification of DNA fingerprints for design of microarray-based pathogen diagnostic assays. We provide a quantifiable definition of a DNA fingerprint stated both from a computational as well as an experimental point of view, and the analytical proof that all in silico fingerprints satisfying the stated definition are found using our approach.

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