Literature DB >> 16452780

Fast and accurate probe selection algorithm for large genomes.

Wing-Kin Sung1, Wah-Heng Lee.   

Abstract

The oligo microarray (DNA chip) technology in recent years has a significant impact on genomic study. Many fields such as gene discovery, drug discovery, toxicological research and disease diagnosis, will certainly benefit from its use. A microarray is an orderly arrangement of thousands of DNA fragments where each DNA fragment is a probe (or a fingerprint) of a gene/cDNA. It is important that each probe must uniquely associate with a particular gene/cDNA. Otherwise, the performance of the microarray will be affected. Existing algorithms usually select probes using the criteria of homogeneity, sensitivity, and specificity. Moreover, they improve efficiency employing some heuristics. Such approaches reduce the accuracy. Instead, we make use of some smart filtering techniques to avoid redundant computation while maintaining the accuracy. Based on the new algorithm, optimal short (20 bases) or long (50 or 70 bases) probes can be computed efficiently for large genomes.

Mesh:

Substances:

Year:  2003        PMID: 16452780

Source DB:  PubMed          Journal:  Proc IEEE Comput Soc Bioinform Conf        ISSN: 1555-3930


  5 in total

1.  B cell non-Hodgkin's lymphoma in chronic hepatitis C virus patients: An interesting relationship.

Authors:  Hassan S Hamdy; Nadia A Abdelkader; Amal Mansour; Enas H Allam; Hisham M El-Wakiel; Dina Elshenawy
Journal:  Indian J Gastroenterol       Date:  2015-04-29

2.  An Algorithm for the Selection of Probes for Specific Detection of Human Disease Pathogens Using the DNA Microarray Technology.

Authors:  E N Filatova; A S Chaikina; N F Brusnigina; M A Makhova; O V Utkin
Journal:  Sovrem Tekhnologii Med       Date:  2022-01-28

3.  Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysis.

Authors:  Chun-Chi Liu; Chin-Chung Lin; Ker-Chau Li; Wen-Shyen E Chen; Jiun-Ching Chen; Ming-Te Yang; Pan-Chyr Yang; Pei-Chun Chang; Jeremy J W Chen
Journal:  BMC Bioinformatics       Date:  2007-05-22       Impact factor: 3.169

4.  Optimization and clinical validation of a pathogen detection microarray.

Authors:  Christopher W Wong; Charlie Lee Wah Heng; Leong Wan Yee; Shirlena W L Soh; Cissy B Kartasasmita; Eric A F Simoes; Martin L Hibberd; Wing-Kin Sung; Lance D Miller
Journal:  Genome Biol       Date:  2007       Impact factor: 13.583

5.  LOMA: a fast method to generate efficient tagged-random primers despite amplification bias of random PCR on pathogens.

Authors:  Wah Heng Lee; Christopher W Wong; Wan Yee Leong; Lance D Miller; Wing Kin Sung
Journal:  BMC Bioinformatics       Date:  2008-09-10       Impact factor: 3.169

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.