Literature DB >> 14732869

DNAskew: statistical analysis of base compositional asymmetry and prediction of replication boundaries in the genome sequences.

Xiang-Ru Ma1, Shao-Bo Xiao, Ai-Zhen Guo, Jian-Qing Lv, Huan-Chun Chen.   

Abstract

Sueoka and Lobry declared respectively that, in the absence of bias between the two DNA strands for mutation and selection, the base composition within each strand should be A=T and C=G (this state is called Parity Rule type 2, PR2). However, the genome sequences of many bacteria, vertebrates and viruses showed asymmetries in base composition and gene direction. To determine the relationship of base composition skews with replication orientation, gene function, codon usage biases and phylogenetic evolution, in this paper a program called DNAskew was developed for the statistical analysis of strand asymmetry and codon composition bias in the DNA sequence. In addition, the program can also be used to predict the replication boundaries of genome sequences. The method builds on the fact that there are compositional asymmetries between the leading and the lagging strand for replication. DNAskew was written in Perl script language and implemented on the LINUX operating system. It works quickly with annotated or unannotated sequences in GBFF (GenBank flatfile) or fasta format. The source code is freely available for academic use at http://www.epizooty.com/pub/stat/DNAskew.

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Year:  2004        PMID: 14732869     DOI: 10.1093/abbs/36.1.16

Source DB:  PubMed          Journal:  Acta Biochim Biophys Sin (Shanghai)        ISSN: 1672-9145            Impact factor:   3.848


  2 in total

1.  Applying Shannon's information theory to bacterial and phage genomes and metagenomes.

Authors:  Sajia Akhter; Barbara A Bailey; Peter Salamon; Ramy K Aziz; Robert A Edwards
Journal:  Sci Rep       Date:  2013-01-08       Impact factor: 4.379

2.  GraphDNA: a Java program for graphical display of DNA composition analyses.

Authors:  Jamie M Thomas; Daniel Horspool; Gordon Brown; Vasily Tcherepanov; Chris Upton
Journal:  BMC Bioinformatics       Date:  2007-01-23       Impact factor: 3.169

  2 in total

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