Earticle

초록

영어

Computational prediction of nucleosome positioning relies upon in vitro and in vivo experimental outcome such as sequence positioning and exclusion signatures, structural thermodynamic details, histone-DNA interaction models, etc. On the other hand, CpG island and promoter prediction programs are available which depends upon the algorithm built by the predictive power of trained experimental datasets from sequencing projects. “CpGP dynamics – The dynamics of CpG island and promoter to validate nucleosomal gene expression” is a web-based program which predicts the nucleosome- positioning (NP) and exclusion (NE) signatures in the user provided nucleotide sequence and presents a graphical output. It also utilizes the sequence positions of CpG island and promoter predicted by third-party programs as input to generate graphical sequence output. These two graphical outputs can be merged to discriminate the more accurate sequence positions of CpG island and promoter from a number of likelihood predictions. The program is freely accessible at http://www.cpgpdynamics.webs.com.

목차

Abstract
 1. Introduction
 2. Materials and Methods
  2.1 Extraction of NP and NE from Bibliographic Literatures
  2.2 Computational Development of CpGP Dynamics
 3. Results and Discussion
  3.1 Web Components of CpGP Dynamics
  3.2 The Background of Graphical Output Comparison
  3.3 Benchmarking CpGP Dynamics
  3.4 Comparison with DNA Sequence based Nucleosome Position Prediction Programs
  3.5 Comparison with Program Employing Similar Algorithm
  3.6 The Protocol of CpGP Dynamics
 4. Conclusion
 Acknowledgements
 References

키워드

저자

• S. Prasanth Kumar [ Department of Bioinformatics, Alagappa University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Bio-Science and Bio-Technology

• 간기

  격월간

• pISSN

  2233-7849

• 수록기간

  2009~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605