Chun-Ting Zhang1, Ren Zhang, Hong-Yu Ou. 1. Department of Physics, Tianjin University, Tianjin 300072, People's Republic of China. ctzhang@tju.edu.cn
Abstract
MOTIVATION: Genome projects for many prokaryotic and eukaryotic species have been completed and more new genome projects are being underway currently. The availability of a large number of genomic sequences for researchers creates a need to find graphic tools to study genomes in a perceivable form. The Z curve is one of such tools available for visualizing genomes. The Z curve is a unique three-dimensional curve representation for a given DNA sequence in the sense that each can be uniquely reconstructed given the other. The Z curve database for more than 1000 genomes have been established here. RESULTS: The database contains the Z curves for archaea, bacteria, eukaryota, organelles, phages, plasmids, viroids and viruses, whose genomic sequences are currently available. All the 3-dimensional Z curves and their three component curves are stored in the database. The applications of the Z curve database on comparative genomics, gene prediction, computation of G+C content with a windowless technique, prediction of replication origins and terminations of bacterial and archaeal genomes and study of local deviations from the Chargaff Parity Rule 2 etc. are presented in detail. The Z curve database reported here is a treasure trove in which biologists could find useful biological knowledge.
MOTIVATION: Genome projects for many prokaryotic and eukaryotic species have been completed and more new genome projects are being underway currently. The availability of a large number of genomic sequences for researchers creates a need to find graphic tools to study genomes in a perceivable form. The Z curve is one of such tools available for visualizing genomes. The Z curve is a unique three-dimensional curve representation for a given DNA sequence in the sense that each can be uniquely reconstructed given the other. The Z curve database for more than 1000 genomes have been established here. RESULTS: The database contains the Z curves for archaea, bacteria, eukaryota, organelles, phages, plasmids, viroids and viruses, whose genomic sequences are currently available. All the 3-dimensional Z curves and their three component curves are stored in the database. The applications of the Z curve database on comparative genomics, gene prediction, computation of G+C content with a windowless technique, prediction of replication origins and terminations of bacterial and archaeal genomes and study of local deviations from the Chargaff Parity Rule 2 etc. are presented in detail. The Z curve database reported here is a treasure trove in which biologists could find useful biological knowledge.
Authors: Jens Lichtenberg; Edwin Jacox; Joshua D Welch; Kyle Kurz; Xiaoyu Liang; Mary Qu Yang; Frank Drews; Klaus Ecker; Stephen S Lee; Laura Elnitski; Lonnie R Welch Journal: BMC Genomics Date: 2009-07-07 Impact factor: 3.969
Authors: Amber L Hartman; Cédric Norais; Jonathan H Badger; Stéphane Delmas; Sam Haldenby; Ramana Madupu; Jeffrey Robinson; Hoda Khouri; Qinghu Ren; Todd M Lowe; Julie Maupin-Furlow; Mecky Pohlschroder; Charles Daniels; Friedhelm Pfeiffer; Thorsten Allers; Jonathan A Eisen Journal: PLoS One Date: 2010-03-19 Impact factor: 3.240