title: Computational methods for optical mapping.
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.
authors: Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD USA ; Applied Math & Statistics, and Scientific Computation, University of Maryland, College Park, MD USA.
authors: Lee
authors: L
authors: Mendelowitz
authors: Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD USA ; Department of Computer Science, University of Maryland, College Park, MD USA.
authors: Mihai
authors: M
authors: Pop
keywords: Genome assembly; Genome mapping; Optical mapping; Structural variation