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The Z-curve method is a bioinformatics algorithm for genome analysis. The Z-curve is a three-dimensional curve that constitutes a unique representation of a DNA

Z-curve

The Z-curve method is a bioinformatics algorithm for genome analysis. The Z-curve is a three-dimensional curve that constitutes a unique representation of a DNA sequence, i.e., for the Z-curve and the given DNA sequence each can be uniquely reconstructed from the other. [1] The resulting curve has a zigzag shape, hence the name Z-curve. The Z-curve method has been used in many different areas of genome research, such as replication origin identification[2], ab initio gene prediction[3], isochore identification[4], genomic island identification[5] and comparative genomics.[6]

Sources

  1. ^ Zhang CT, Zhang R, Ou HY (2003). The Z curve database: a graphic representation of genome sequences, Bioinformatics, 19(5):593-599.
  2. ^ Zhang R, Zhang CT (2005). Identification of replication origins in archaeal genomes based on the Z-curve method. Archaea, 1(5):335-46.
  3. ^ Guo FB, Ou HY, Zhang CT (2003). ZCURVE: a new system for recognizing protein-coding genes in bacterial and archaeal genomes, Nucleic Acids Research, 31: 1780–1789.
  4. ^ Zhang CT, Zhang R (2004). Isochore structures in the mouse genome, Genomics, 83(3):384-94.
  5. ^ Zhang R, Zhang CT (2004). A systematic method to identify genomic islands and its applications in analyzing the genomes of Corynebacterium glutamicum and Vibrio vulnificus CMCP6 chromosome I, Bioinformatics, 20(5):612-22.
  6. ^ Zhang R, Zhang CT (2003). Identification of genomic islands in the genome of Bacillus cereus by comparative analysis with Bacillus anthracis, Physiological Genomics, 16:19–23.

See also

The Z-curve database of genomes — a unique curve representation of genome sequences [1]

  1. ^ Zhang CT, Zhang R, Ou HY (2003). The Z curve database: a graphic representation of genome sequences, Bioinformatics, 19(5):593-599.

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