Minimum multicolored subgraph problem in multiplex PCR primer set selection and population haplotyping

  • Authors:
  • M. T. Hajiaghayi;K. Jain;L. C. Lau;I. I. Măndoiu;A. Russell;V. V. Vazirani

  • Affiliations:
  • Laboratory for Computer Science, MIT;Microsoft Research;Department of Computer Science, University of Toronto, Canada;CSE Department, University of Connecticut;CSE Department, University of Connecticut;College of Computing, Georgia Institute of Technology

  • Venue:
  • ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part II
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper we consider the minimum weight multicolored subgraph problem (MWMCSP), which is a common generalization of minimum cost multiplex PCR primer set selection and maximum likelihood population haplotyping. In this problem one is given an undirected graph G with non-negative vertex weights and a color function that assigns to each edge one or more of n given colors, and the goal is to find a minimum weight set of vertices inducing edges of all n colors. We obtain improved approximation algorithms and hardness results for MWMCSP and its variant in which the goal is to find a minimum number of vertices inducing edges of at least k colors for a given integer k≤ n.