Title
Determining DNA Sequence Similarity Using Maximum Independent Set Algorithms for Interval Graphs
Abstract
Motivated by the problem of finding similarities in DNA and amino acid sequences, we study a particular class of two dimensional interval graphs and present an algorithm that finds a maximum weight increasing independent set for this class. Our class of interval graphs is a subclass of the graphs with interval number 2. The algorithm we present runs in O(n log n) time, where n is the number of nodes, and its implementation provides a practical solution to a common problem in genetic sequence comparison.
Year
DOI
Venue
1992
10.1007/3-540-55706-7_29
SWAT
Keywords
Field
DocType
dna sequence similarity,maximum independent set algorithms,interval graphs,maximum independent set,dna sequence,genetics,independent set,interval graph,amino acid sequence
Discrete mathematics,Graph,Combinatorics,Complete sequence,Subclass,Interval graph,Algorithm,Independent set,DNA sequencing,Time complexity,Mathematics
Conference
ISBN
Citations 
PageRank 
3-540-55706-7
21
1.39
References 
Authors
7
3
Name
Order
Citations
PageRank
Deborah Joseph151272.28
Joao Meidanis28511.44
Prasoon Tiwari359296.81