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Probe Design for Large-Scale Molecular Biology Applications

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CONTRIBUTORS:
  Author VanBuren, Vincent (Texas A&M University Health Science Center)
  Author Yoshikawa, Toshiyuki
  Author Hamatani, Toshio
  Author Ko, Minoru S.H.
PROCEEDINGS TITLE:
  Proceedings of the 2003 IEEE Bioinformatics Conference (CSB2003)
YEAR: 2003
PUB TYPE: Conference Paper in Proceedings
PAGES: 502 - 503
SUBJECT(S): probe design; oligo DNA microarray; large-scale ISH
DISCIPLINE: Biology
HTTP: http://csdl.computer.org/comp/proceedings/csb/2003/2000/00/20000502.pdf
LANGUAGE: English, Middle (1100-
PUB ID: 103-394-589 (Last edited on 2003/12/30 12:35:41 US/Mountain)
SPONSOR(S):
 
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.
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