Literature DB >> 9183531

Prediction of probable genes by Fourier analysis of genomic sequences.

S Tiwari1, S Ramachandran, A Bhattacharya, S Bhattacharya, R Ramaswamy.   

Abstract

MOTIVATION: The major signal in coding regions of genomic sequences is a three-base periodicity. Our aim is to use Fourier techniques to analyse this periodicity, and thereby to develop a tool to recognize coding regions in genomic DNA. RESULT: The three-base periodicity in the nucleotide arrangement is evidenced as a sharp peak at frequency f = 1/3 in the Fourier (or power) spectrum. From extensive spectral analysis of DNA sequences of total length over 5.5 million base pairs from a wide variety or organisms (including the human genome), and by separately examining coding and non-coding sequences, we find that the relative-height of the peak at f = 1/3 in the Fourier spectrum is a good discriminator of coding potential. This feature is utilized by us to detect probable coding regions in DNA sequences, by examining the local signal-to-noise ratio of the peak within a sliding window. While the overall accuracy is comparable to that of other techniques currently in use, the measure that is presently proposed is independent of training sets or existing database information, and can thus find general application. AVAILABILITY: A computer program GeneScan which locates coding open reading frames and exonic regions in genomic sequences has been developed, and is available on request.

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Year:  1997        PMID: 9183531     DOI: 10.1093/bioinformatics/13.3.263

Source DB:  PubMed          Journal:  Comput Appl Biosci        ISSN: 0266-7061


  75 in total

1.  Ab initio gene identification: prokaryote genome annotation with GeneScan and GLIMMER.

Authors:  Gautam Aggarwal; Ramakrishna Ramaswamy
Journal:  J Biosci       Date:  2002-02       Impact factor: 1.826

2.  An automated annotation tool for genomic DNA sequences using GeneScan and BLAST.

Authors:  A M Lynn; C K Jain; K Kosalai; P Barman; N Thakur; H Batra; A Bhattacharya
Journal:  J Genet       Date:  2001-04       Impact factor: 1.166

3.  Annotation of the domestic dog genome sequence: finding the missing genes.

Authors:  Thomas Derrien; Amaury Vaysse; Catherine André; Christophe Hitte
Journal:  Mamm Genome       Date:  2011-11-11       Impact factor: 2.957

4.  Gene structure prediction in syntenic DNA segments.

Authors:  Jonathan E Moore; James A Lake
Journal:  Nucleic Acids Res       Date:  2003-12-15       Impact factor: 16.971

5.  Leishmania major chromosome 3 contains two long convergent polycistronic gene clusters separated by a tRNA gene.

Authors:  E A Worthey; Santiago Martinez-Calvillo; Achim Schnaufer; Gautam Aggarwal; Jason Cawthra; Gholam Fazelinia; Chris Fong; Guoliang Fu; Melissa Hassebrock; Greg Hixson; Alasdair C Ivens; Patti Kiser; Felicia Marsolini; Erika Rickel; Erica Rickell; Reza Salavati; Ellen Sisk; Susan M Sunkin; Kenneth D Stuart; Peter J Myler
Journal:  Nucleic Acids Res       Date:  2003-07-15       Impact factor: 16.971

6.  Gene prediction by spectral rotation measure: a new method for identifying protein-coding regions.

Authors:  Daniel Kotlar; Yizhar Lavner
Journal:  Genome Res       Date:  2003-07-17       Impact factor: 9.043

7.  Can codon usage bias explain intron phase distributions and exon symmetry?

Authors:  A Ruvinsky; S T Eskesen; F N Eskesen; L D Hurst
Journal:  J Mol Evol       Date:  2005-01       Impact factor: 2.395

8.  Measuring the coding potential of genomic sequences through a combination of triplet occurrence patterns and RNY preference.

Authors:  Christoforos Nikolaou; Yannis Almirantis
Journal:  J Mol Evol       Date:  2004-09       Impact factor: 2.395

9.  Novel noncoding RNA from human Y distal heterochromatic block (Yq12) generates testis-specific chimeric CDC2L2.

Authors:  Zeenath Jehan; Sambandam Vallinayagam; Shrish Tiwari; Suman Pradhan; Lalji Singh; Amritha Suresh; Hemakumar M Reddy; Y R Ahuja; Rachel A Jesudasan
Journal:  Genome Res       Date:  2006-11-09       Impact factor: 9.043

10.  In silico comparison of bacterial strains using mutual information.

Authors:  D Swati
Journal:  J Biosci       Date:  2007-09       Impact factor: 1.826

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