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Related Concept Videos

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Evolutionary Relationships through Genome Comparisons

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Related Experiment Video

Updated: Jun 8, 2026

Targeted DNA Methylation Analysis by Next-generation Sequencing
08:38

Targeted DNA Methylation Analysis by Next-generation Sequencing

Published on: February 24, 2015

A fast and efficient algorithm for mapping short sequences to a reference genome.

Pavlos Antoniou1, Costas S Iliopoulos, Laurent Mouchard

  • 1Department of Computer Science, University of Cyprus, Nicosia, Cyprus. panton@cs.ucy.ac.cy

Advances in Experimental Medicine and Biology
|September 25, 2010
PubMed
Summary
This summary is machine-generated.

New high-throughput sequencing generates millions of short DNA reads. This study introduces an efficient algorithm to map these reads to a reference genome using Massive Approximate Pattern Matching.

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Last Updated: Jun 8, 2026

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Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • High-throughput sequencing technologies have revolutionized genome sequencing.
  • These methods generate millions of short sequence reads cost-effectively.

Purpose of the Study:

  • To present a novel algorithm for efficient mapping of short sequence reads to a reference genome.
  • To address the challenge of Massive Approximate Pattern Matching in genomic data.

Main Methods:

  • Development of a new algorithm for sequence mapping.
  • Definition and solution of the Massive Approximate Pattern Matching problem.

Main Results:

  • The proposed algorithm efficiently maps millions of short reads.
  • Successful application of Massive Approximate Pattern Matching for genome analysis.

Conclusions:

  • The new algorithm enhances the efficiency of genome sequencing analysis.
  • This work provides a robust solution for mapping short reads in large-scale genomic studies.