Computational methods for optical mapping
| dc.contributor.author | Mendelowitz, Lee | |
| dc.contributor.author | Pop, Mihai | |
| dc.date.accessioned | 2021-08-30T17:24:36Z | |
| dc.date.available | 2021-08-30T17:24:36Z | |
| dc.date.issued | 2014-12-30 | |
| dc.description.abstract | Optical mapping and newer genome mapping technologies based on nicking enzymes provide low resolution but long-range genomic information. The optical mapping technique has been successfully used for assessing the quality of genome assemblies and for detecting large-scale structural variants and rearrangements that cannot be detected using current paired end sequencing protocols. Here, we review several algorithms and methods for building consensus optical maps and aligning restriction patterns to a reference map, as well as methods for using optical maps with sequence assemblies. | en_US |
| dc.description.uri | https://doi.org/10.1186/2047-217X-3-33 | |
| dc.identifier | https://doi.org/10.13016/yr4r-xgwp | |
| dc.identifier.citation | Mendelowitz, L., Pop, M. Computational methods for optical mapping. GigaSci 3, 33 (2014). | en_US |
| dc.identifier.uri | http://hdl.handle.net/1903/27657 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Springer Nature | en_US |
| dc.relation.isAvailableAt | College of Computer, Mathematical & Physical Sciences | en_us |
| dc.relation.isAvailableAt | Digital Repository at the University of Maryland | en_us |
| dc.relation.isAvailableAt | Biology | en_us |
| dc.relation.isAvailableAt | University of Maryland (College Park, MD) | en_us |
| dc.subject | Optical mapping | en_US |
| dc.subject | Genome mapping | en_US |
| dc.subject | Genome assembly | en_US |
| dc.subject | Structural variation | en_US |
| dc.title | Computational methods for optical mapping | en_US |
| dc.type | Article | en_US |