Probe design for large-scale molecular biology applications

V. VanBuren, T. Yoshikawa, T. Hamatani, M. S.H. Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Large-scale molecular biology technologies such as DNA microarrays and large-scale in situ hybridization (ISH) are used to gain an appreciation of global attributes in biological tissues and cells. Although many of these efforts use cDNA probes, an approach that makes use of designed oligo probes should offer improved consistency at uniform hybridization conditions and improved specificity, as demonstrated by various oligo microarray platforms. We describe a new Web-based application that takes FASTA-formatted sequences as input, and returns both a list of the best choices for probes and a full report containing possible alternatives. Probe design for microarrays may use a scoring routine that optimizes probe intensity based upon an artificial neural network (ANN) trained to predict the average probe intensity from the physical properties of the probe and a screen for possible cross-reactivity. This new tool should provide a reliable way to construct probes that maximize signal intensity while minimizing cross-reactivity.

Original languageEnglish
Title of host publicationProceedings of the 2003 IEEE Bioinformatics Conference, CSB 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages502-503
Number of pages2
ISBN (Electronic)0769520006, 9780769520001
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event2nd International IEEE Computer Society Computational Systems Bioinformatics Conference, CSB 2003 - Stanford, United States
Duration: 11-08-200314-08-2003

Publication series

NameProceedings of the 2003 IEEE Bioinformatics Conference, CSB 2003

Conference

Conference2nd International IEEE Computer Society Computational Systems Bioinformatics Conference, CSB 2003
Country/TerritoryUnited States
CityStanford
Period11-08-0314-08-03

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Science Applications

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