An improved approximation algorithm for the complementary maximal strip recovery problem

• Author(s) / Creator(s)

  • Goebel, Randy
  • Wang, Lusheng
  • Lin, Guohui
  • Li, Zhong

• Technical report TR11-02. Given two genomic maps G1 and G2 each represented as a sequence of n gene markers, the maximal strip recovery (MSR) problem is to retain the maximum number of markers in both G1 and G2 such that the resultant subsequences, denoted as G1* and G2*, can be partitioned into the same set of maximal strips, which are common substrings of length greater than or equal to two. The complementary maximal strip recovery (CMSR) problem has the complementary goal to delete the minimum number of markers. Both MSR and CMSR have been shown NP-hard and APX-complete, and they admit a 4-approximation and a 3-approximation respectively. In this paper, we present an improved 7/3-approximation algorithm for the CMSR problem, with its worst-case performance analysis done through a sequential amortization. | TRID-ID TR11-02

• Date created

  2011

• Subjects / Keywords

  • Maximal strip recovery
  • Bioinformatics
  • Approximation algorithms
  • Algorithmics
  • Sequential amortized analysis

• Type of Item

  Report

• DOI

  https://doi.org/10.7939/R3RV0D224

• License

  Attribution 3.0 International