@proceedings {38555,
	title = {Uncovering Genomic Reassortments among Influenza Strains by Enumerating Maximal Bicliques},
	year = {2008},
	month = {2008},
	publisher = {IEEE},
	type = {10.1109/BIBM.2008.78},
	abstract = {The evolutionary histories of viral genomes have received significant recent attention due to their importance in understanding virulence and the corresponding ramifications to public health. We present a novel framework to detect reassortment events in influenza based on the comparison of two distributions of phylogenetic trees, rather than a pair of, possibly unreliable, consensus trees. We show how to detect all high-probability inconsistencies between two distributions of trees by enumerating maximal bicliques within a defined incompatibility graph. In the process, we give the first quadratic delay algorithm for enumerating maximal bicliques within general bipartite graphs. We demonstrate the utility of our approach by applying it to several sets of influenza genomes (both human- and avian-hosted) and successfully identify all known reassortment events and a few novel candidate reassortments. In addition, on simulated datasets, our approach correctly finds implanted reassortments and rarely detects reassortments where none were introduced.},
	keywords = {avian hosted influenza genome, Bioinformatics, Capacitive sensors, Delay, diseases, Event detection, general bipartite graphs, genomic reassortments, Genomics, graph theory, high probability inconsistencies, History, human hosted influenza genome, incompatibility graph, Influenza, influenza strain, maximal biclique, maximal biclique enumeration, microorganisms, phylogenetic trees, Phylogeny, Public healthcare, quadratic delay algorithm, reassortment, reassortment event detection, Tree graphs, viral genome evolutionary history, virulence},
	isbn = {978-0-7695-3452-7},
	author = {Nagarajan, N. and Kingsford, Carl}
}
@proceedings {38225,
	title = {Efficient algorithms for computing matching and chromatic polynomials on series-parallel graphs},
	year = {1992},
	month = {1992},
	publisher = {IEEE},
	type = {10.1109/ICCI.1992.227709},
	abstract = {The authors present efficient algorithms for computing the matching polynomial and chromatic polynomial of a series-parallel graph in O(n3) and O(n2) time respectively. Their algorithm for computing the matching polynomial generalizes an existing result from Lovasz, Plummer (1986) and the chromatic polynomial algorithm improves the result given by Hunt, Ravi, Stearn (1988) from O(n4) time},
	keywords = {chromatic polynomials, computational complexity, Computer science, graph colouring, graph theory, matching polynomial, Polynomials, series-parallel graphs, Terminology, Tree data structures, Tree graphs},
	isbn = {0-8186-2812-X},
	author = {Chandrasekharan, N. and Sridhar Hannenhalli}
}
