Unknown

Dataset Information

0

Ruler arrays reveal haploid genomic structural variation.


ABSTRACT: Despite the known relevance of genomic structural variants to pathogen behavior, cancer, development, and evolution, certain repeat based structural variants may evade detection by existing high-throughput techniques. Here, we present ruler arrays, a technique to detect genomic structural variants including insertions and deletions (indels), duplications, and translocations. A ruler array exploits DNA polymerase's processivity to detect physical distances between defined genomic sequences regardless of the intervening sequence. The method combines a sample preparation protocol, tiling genomic microarrays, and a new computational analysis. The analysis of ruler array data from two genomic samples enables the identification of structural variation between the samples. In an empirical test between two closely related haploid strains of yeast ruler arrays detected 78% of the structural variants larger than 100 bp.

SUBMITTER: Rolfe PA 

PROVIDER: S-EPMC3428316 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

altmetric image

Publications

Ruler arrays reveal haploid genomic structural variation.

Rolfe P Alexander PA   Bernstein Douglas A DA   Grisafi Paula P   Fink Gerald R GR   Gifford David K DK  

PloS one 20120827 8


Despite the known relevance of genomic structural variants to pathogen behavior, cancer, development, and evolution, certain repeat based structural variants may evade detection by existing high-throughput techniques. Here, we present ruler arrays, a technique to detect genomic structural variants including insertions and deletions (indels), duplications, and translocations. A ruler array exploits DNA polymerase's processivity to detect physical distances between defined genomic sequences regard  ...[more]

Similar Datasets

2010-09-16 | GSE23524 | GEO
2010-09-16 | E-GEOD-23524 | biostudies-arrayexpress
2014-01-01 | GSE48484 | GEO
2014-01-01 | E-GEOD-48484 | biostudies-arrayexpress
2014-01-01 | GSE48482 | GEO
2014-01-01 | GSE48483 | GEO
| S-EPMC5411763 | biostudies-literature
2014-01-01 | E-GEOD-48482 | biostudies-arrayexpress
| S-EPMC3804003 | biostudies-literature
| S-EPMC2730937 | biostudies-literature