Skip to main navigation Skip to search Skip to main content

A novel visualization of DNA sequences, reflecting GC-content

  • Zhujin Zhang*
  • , Jiuyong Li
  • , Linqiang Pan
  • , Yunming Ye
  • , Xiangxiang Zeng
  • , Tao Song
  • , Xiaofeng Zhang
  • , Eric KeWang
  • *Corresponding author for this work
  • Harbin Institute of Technology Shenzhen
  • Shenzhen Key Laboratory of Internet Information Collaboration
  • Adelaide University
  • Huazhong University of Science and Technology
  • Xiamen University

Research output: Contribution to journalArticlepeer-review

Abstract

Significant progresses of visualization technology of DNA sequences have been made by solving visual effect problems of degeneracy, loss of information, difficulty in multidimensional space and difficulty for long DNA sequences. Different from traditional models focusing on visualization effect problems, we propose a novel visualization tool -GC-Curve, which not only solves all the visual effect problems mentioned above, but also can show the GC-content of a DNA. GC-content is an important feature of DNA, which is related to the stability of DNA, the density of genes, natural selection, mutational bias, etc. So the visualization reflecting GC-content has great potential in many applications.The applications of GC-Curve on similarity analysis, GC-content analysis, stability analysis and melting temperature prediction are presented. A software of GC-Curve is available at https://www.box.com/s/g872v3pq4kuz86sj5coq.

Original languageEnglish
Pages (from-to)533-550
Number of pages18
JournalMatch
Volume72
Issue number2
StatePublished - 2014
Externally publishedYes

Fingerprint

Dive into the research topics of 'A novel visualization of DNA sequences, reflecting GC-content'. Together they form a unique fingerprint.

Cite this