Literature DB >> 12799435

DNA sequence representation without degeneracy.

Stephen S-T Yau1, Jiasong Wang, Amir Niknejad, Chaoxiao Lu, Ning Jin, Yee-Kin Ho.   

Abstract

Graphical representation of DNA sequence provides a simple way of viewing, sorting and comparing various gene structures. A new two-dimensional graphical representation method using a two- quadrant Cartesian coordinates system has been derived for mathematical denotation of DNA sequence. The two-dimensional graphic representation resolves sequences' degeneracy and is mathematically proven to eliminate circuit formation. Given x-projection and y-projection of any point on the graphical representation, the number of A, G, C and T from the beginning of the sequence to that point could be found. Compared with previous methods, this graphical representation is more in-line with the conventional recognition of linear sequences by molecular biologists, and also provides a metaphor in two dimensions for local and global DNA sequence comparison.

Mesh:

Year:  2003        PMID: 12799435      PMCID: PMC162336          DOI: 10.1093/nar/gkg432

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  7 in total

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Authors:  M Randić; M Vracko; A Nandy; S C Basak
Journal:  J Chem Inf Comput Sci       Date:  2000 Sep-Oct

2.  Some notes on 2-D graphical representation of DNA sequence.

Authors:  Yachun Liu; Xiaofeng Guo; Jin Xu; Linqiang Pan; Shiying Wang
Journal:  J Chem Inf Comput Sci       Date:  2002 May-Jun

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Authors:  A Nandy
Journal:  Comput Appl Biosci       Date:  1996-02

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Authors:  M A Gates
Journal:  J Theor Biol       Date:  1986-04-07       Impact factor: 2.691

5.  Simpler DNA sequence representations.

Authors:  M A Gates
Journal:  Nature       Date:  1985 Jul 18-24       Impact factor: 49.962

6.  Novel DNA sequence representations.

Authors:  E Hamori
Journal:  Nature       Date:  1985 Apr 18-24       Impact factor: 49.962

7.  H curves, a novel method of representation of nucleotide series especially suited for long DNA sequences.

Authors:  E Hamori; J Ruskin
Journal:  J Biol Chem       Date:  1983-01-25       Impact factor: 5.157

  7 in total
  14 in total

1.  A novel construction of genome space with biological geometry.

Authors:  Chenglong Yu; Qian Liang; Changchuan Yin; Rong L He; Stephen S-T Yau
Journal:  DNA Res       Date:  2010-04-01       Impact factor: 4.458

2.  A novel method of characterizing genetic sequences: genome space with biological distance and applications.

Authors:  Mo Deng; Chenglong Yu; Qian Liang; Rong L He; Stephen S-T Yau
Journal:  PLoS One       Date:  2011-03-02       Impact factor: 3.240

3.  DNAvisualization.org: a serverless web tool for DNA sequence visualization.

Authors:  Benjamin D Lee; Michael A Timony; Pablo Ruiz
Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

Review 4.  Graphical representation and mathematical characterization of protein sequences and applications to viral proteins.

Authors:  Ambarnil Ghosh; Ashesh Nandy
Journal:  Adv Protein Chem Struct Biol       Date:  2011       Impact factor: 3.507

5.  Coronavirus phylogeny based on 2D graphical representation of DNA sequence.

Authors:  Bo Liao; Xuyu Xiang; Wen Zhu
Journal:  J Comput Chem       Date:  2006-08       Impact factor: 3.376

6.  A new method to analyze protein sequence similarity using Dynamic Time Warping.

Authors:  Wenbing Hou; Qiuhui Pan; Qianying Peng; Mingfeng He
Journal:  Genomics       Date:  2016-12-11       Impact factor: 5.736

7.  Two Dimensional Yau-Hausdorff Distance with Applications on Comparison of DNA and Protein Sequences.

Authors:  Kun Tian; Xiaoqian Yang; Qin Kong; Changchuan Yin; Rong L He; Stephen S-T Yau
Journal:  PLoS One       Date:  2015-09-18       Impact factor: 3.240

8.  Classification of genomic signals using dynamic time warping.

Authors:  Helena Skutkova; Martin Vitek; Petr Babula; Rene Kizek; Ivo Provaznik
Journal:  BMC Bioinformatics       Date:  2013-08-12       Impact factor: 3.169

9.  DFA7, a new method to distinguish between intron-containing and intronless genes.

Authors:  Chenglong Yu; Mo Deng; Lu Zheng; Rong Lucy He; Jie Yang; Stephen S-T Yau
Journal:  PLoS One       Date:  2014-07-18       Impact factor: 3.240

10.  Large-Scale Genome Comparison Based on Cumulative Fourier Power and Phase Spectra: Central Moment and Covariance Vector.

Authors:  Shaojun Pei; Rui Dong; Rong Lucy He; Stephen S-T Yau
Journal:  Comput Struct Biotechnol J       Date:  2019-07-11       Impact factor: 7.271

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