Computational approaches for genome assembly validation

Jeong Hyeon Choi, Haixu Tang, Sun Kim, Mihai Pop

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Although biologists are aware that there are likely mistakes in a draft genome assembly, there is a lack of computer software to automatically detect the mistakes or to assign confidence scores in difference regions of the T&F Cat # C6847 Chapter: 8 page: 163 date: August 5, 2009 T&F Cat # C6847 Chapter: 8 page: 164 date: August 5, 2009 assembly. The problem, referred to as the genome validation problem herein, is particularly important owning to the wide application of the massively parallel sequencing technologies, which often generate short reads and thus increase the chance of misassembly.

Original languageEnglish (US)
Title of host publicationBiological Data Mining
PublisherCRC Press
Pages163-185
Number of pages23
ISBN (Electronic)9781420086850
ISBN (Print)9781420086843
Publication statusPublished - Jan 1 2009
Externally publishedYes

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ASJC Scopus subject areas

  • Computer Science(all)
  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

Choi, J. H., Tang, H., Kim, S., & Pop, M. (2009). Computational approaches for genome assembly validation. In Biological Data Mining (pp. 163-185). CRC Press.