DocumentCode
1988372
Title
Probe design for large-scale molecular biology applications
Author
VanBuren, Vincent ; Yoshikawa, Toshiyuki ; Hamatani, Toshio ; Ko, Minoru S H
Author_Institution
Lab. of Genetics, Nat. Inst. of Health, Baltimore, MD, USA
fYear
2003
fDate
11-14 Aug. 2003
Firstpage
502
Lastpage
503
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.
Keywords
DNA; arrays; biological techniques; biological tissues; biology computing; cellular biophysics; molecular biophysics; neural nets; probes; DNA microarray; FASTA-formatted sequence; Web-based application; artificial neural network; biological cells; biological tissues; cDNA probes; cross-reactivity; large-scale in situ hybridization; large-scale molecular biology technology; oligo probes; probe design; probe intensity; Aging; Artificial neural networks; Bioinformatics; Cells (biology); DNA; Genetics; Laboratories; Large-scale systems; Probes; Sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics Conference, 2003. CSB 2003. Proceedings of the 2003 IEEE
Print_ISBN
0-7695-2000-6
Type
conf
DOI
10.1109/CSB.2003.1227388
Filename
1227388
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