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Related Concept Videos

DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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Technical Demonstration of Whole Genome Array Comparative Genomic Hybridization
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Published on: August 5, 2008

The distribution and deposition algorithm for multiple oligo nucleotide arrays.

Kang Ning1, Hon Wai Leong

  • 1Department of Computer Science, National University of Singapore, 3 Science Drive 2 117543, Singapore. ningkang@comp.nus.edu.sg

Genome Informatics. International Conference on Genome Informatics
|May 16, 2007
PubMed
Summary
This summary is machine-generated.

The multiple array synthesis problem (MASP) is addressed by distributing oligonucleotide probes to minimize synthesis costs. A novel Distribution and Deposition Algorithm (DDA) efficiently generates shorter synthesis sequences for multiple arrays.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Oligonucleotide Synthesis

Background:

  • Increasing scale of microarray experiments necessitates the use of multiple oligonucleotide arrays.
  • Single arrays are insufficient for large-scale experiments, making multi-array design crucial.
  • Minimizing synthesis cost for multiple arrays is a significant challenge in experimental design.

Purpose of the Study:

  • To formulate and address the multiple array synthesis problem (MASP).
  • To develop an efficient algorithm for distributing and depositing oligonucleotide probes onto multiple arrays.
  • To minimize the overall synthesis cost while maintaining array quality.

Main Methods:

  • Formulation of the multiple array synthesis problem (MASP).
  • Proposal of a cost function to quantify synthesis expenses.
  • Development and implementation of the Distribution and Deposition Algorithm (DDA).
  • Distribution of probes based on characteristics (e.g., GC content) followed by deposition.
  • Comparison with two alternative algorithms.

Main Results:

  • The proposed Distribution and Deposition Algorithm (DDA) effectively solves the MASP.
  • Experimental results demonstrate the algorithm's ability to produce short synthesis sequences for multiple arrays.
  • The DDA algorithm is shown to be efficient in terms of computational resources and time.

Conclusions:

  • The DDA provides an effective solution for the multiple array synthesis problem.
  • This approach significantly reduces synthesis costs for large-scale oligonucleotide array experiments.
  • The algorithm's efficiency makes it suitable for practical application in experimental design.