Abstract
Differences between individual human genomes, or between human and cancer genomes, range in scale from single nucleotide variants (SNVs) through intermediate and large-scale duplications, deletions, and rearrangements of genomic segments. The latter class, called structural variants (SVs), have received considerable attention in the past several years as they are a previously under appreciated source of variation in human genomes. Much of this recent attention is the result of the availability of higher-resolution technologies for measuring these variants, including both microarray-based techniques, and more recently, high-throughput DNA sequencing. We describe the genomic technologies and computational techniques currently used to measure SVs, focusing on applications in human and cancer genomics.
Original language | English (US) |
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Article number | e1002821 |
Journal | PLoS computational biology |
Volume | 8 |
Issue number | 12 |
DOIs | |
State | Published - Dec 2012 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Genetics
- Ecology, Evolution, Behavior and Systematics
- Cellular and Molecular Neuroscience
- Molecular Biology
- Ecology
- Computational Theory and Mathematics
- Modeling and Simulation