Journal of Data Mining in Genomics & Proteomics

Asadollah Ahmadikhah

Publications

• Research Article
  Genome Mining of Rice (Oryza sativa subsp. indica) for Detection and Characterization of Long Palindromic Sequences
  Author(s): Elmira Katanchi Kheiavi, Asadollah Ahmadikhah and Ali Mohammadian MosammamElmira Katanchi Kheiavi, Asadollah Ahmadikhah and Ali Mohammadian Mosammam
  
  Because the rice genome has been sequenced entirely, search to find specific features at genome-wide scale is of high importance for studying genome evolution and subsequent applications. Palindromic sequences are important DNA motifs involved in the regulation of different cellular processes and are a potential source of genetic instability. A genome mining approach was applied to detect and characterize the long palindromic sequences in the rice genome. All palindromes, defined as identical inverted repeats with spacer DNA, could be analyzed and sorted according to their frequency, size, GC content, compact index etc. The results showed that the overall palindrome frequency is high in rice genome (nearly 51000 palindromes), that totally cover 41.4% of nuclear genome of rice, with highest and lowest number of palindromes, respectively belongs to chromosome 1 and 12. Palindrome number.. View More»
  DOI: 10.4172/2153-0602.1000199

  Abstract PDF