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Related Experiment Video

Updated: Jul 29, 2026

High-throughput Physical Mapping of Chromosomes using Automated in situ Hybridization

High-throughput Physical Mapping of Chromosomes using Automated in situ Hybridization

Published on: June 28, 2012

Physical mapping of chromosomes using unique probes

F Alizadeh¹, R M Karp, D K Weisser

¹International Computer Science Institute, Berkeley, CA 94705, USA.

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology

|January 1, 1995

Summary

This study presents algorithms for DNA physical mapping by reconstructing genome strands from overlapping clones. Algorithms are designed to handle errors in probe data for accurate human chromosome mapping.

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Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Physical mapping of the genome aims to reconstruct DNA strands from overlapping clones.
This process is crucial for understanding chromosome structure and function.

Purpose of the Study:

To develop and evaluate algorithms for inferring clone overlaps from probe data.
To address challenges posed by errors in genomic data during physical mapping.

Main Methods:

Utilizing an incidence matrix of clones and probes to represent data.
Developing algorithms for detecting and removing errors.
Employing algorithms robust to errors and an interactive data recovery strategy.
Using PQ-trees for clone placement in error-free scenarios.

Main Results:

Algorithms demonstrate effectiveness in handling errors in clone-probe data.
Empirical evaluation using simulated and real human chromosome 21 data validates the approach.
Successful reconstruction of DNA strands is achievable even with noisy data.

Conclusions:

The developed algorithms enhance the accuracy and robustness of DNA physical mapping.
Error detection and robust algorithmic approaches are vital for reliable genome reconstruction.
This work contributes to improved methods for mapping complex genomes like human chromosomes.