DISTANCE MAPS USING MULTIPLE ALIGNMENT CONSENSUS CONSTRUCTION

摘要

Techniques for assembly of genetic maps including de novo assembly of distance maps using multiple alignment consensus construction. Multiple map alignment can be performed on a defined bundle of fragment maps corresponding to biomolecule fragments to determine consensus events and corresponding locations. Fragment maps in the bundle can be removed when there is no overhang from the consensus events. When the subset of fragment maps in the bundle is less than a predetermined threshold, one or more additional fragment maps can be added based on fragment signatures, a consensus alignment score, and a pairwise alignment score. Techniques for multiple alignment can include generating a graph with edges and vertices representing each pairwise relation. An ordered set of sets of events best representing a multiple alignment reflecting all pairwise alignments can be generated by repeatedly randomly removing edges and combining vertices to identify a min cut of the graph.