Discrete wavelet transform de-noising in eukaryotic gene splicing

George, Tina P; Thomas, Tessamma

doi:10.1186/1471-2105-11-s1-s50

Cited by 33 publications

(30 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When [ ] is plotted against K, [15] it reveals a peak at N/3 for a coding region and no such peak is observable for a noncoding region. In rectangular windows with length 240 were used for evaluating the STDFT of the gene F56F11.4 in C.elegans chromosome III over the bases 7021 to 15120 as show in Fig 10. This 8100-length DNA sequence, which obtained using the Nucleotide Accession Number " F099922" at Genbank website [16], contains five known coding regions.…”

Section: Eiip Representationmentioning

confidence: 99%

“…The Fourier power spectrum of the Voss"s binary indicator sequences, reveals a peak at frequency 1/3 (period-3) for coding regions and shows no peak for non-coding regions. The main application of Voss technique is the efficient identification of the coding and non-coding regions in a DNA sequences [15]. DFT of a sequence ( ) of length L, is itself another sequence [ ], of the same length L.…”

Section: Voss Mapping Techniquementioning

confidence: 99%

See 1 more Smart Citation

Genomic Analysis and Classification of Exon and Intron Sequences Using DNA Numerical Mapping Techniques

Abo‐Zahhad¹,

Ahmed²,

Abd-Elrahman³

2012

IJITCS

View full text Add to dashboard Cite

Abstract-Using digital signal processing in genomic field is a key of solving most problems in this area such as prediction of gene locations in a genomic sequence and identifying the defect regions in DNA sequence. It is found that, using DSP is possible only if the symbol sequences are mapped into numbers. In literature many techniques have been developed for numerical representation of DNA sequences. They can be classified into two types, Fixed Mapping (FM) and Physico Chemical Property Based Mapping (PCPBM ( . The open question is that, which one of these numerical representation techniques is to be used? The answer to this question needs understanding these numerical representations considering the fact that each mapping depends on a particular application. This paper explains this answer and introduces comparison between these techniques in terms of their precision in exon and intron classification. Simulations are carried out using short sequences of the human genome (GRch37/hg19). The final results indicate that the classification performance is a function of the numerical representation method.

show abstract

Section: Eiip Representationmentioning

confidence: 99%

Section: Voss Mapping Techniquementioning

confidence: 99%

Genomic Analysis and Classification of Exon and Intron Sequences Using DNA Numerical Mapping Techniques

Abo‐Zahhad¹,

Ahmed²,

Abd-Elrahman³

2012

IJITCS

View full text Add to dashboard Cite

show abstract

“…The wavelet transform plot was used to pinpoint the location of the mutation in gene sequence [14]. George [15] explains lossless and lossy schemes in DWT and its application in gene segregation. DWT based EIIP technique was implemented in cancer prediction [16].…”

Section: Introductionmentioning

confidence: 99%

Modified Gabor Wavelet Transform in Prediction of Cancerous Genes

Das¹,

Kumar²,

Das³

et al. 2019

IJEAT

View full text Add to dashboard Cite

Cancer is the leading cause of mortality all over the world which in general is the result of some kind of mutation in the genetic sequence. With recent advancements in Digital Signal Processing(DSP) techniques, it has become possible to classify cancerous gene sequences without carrying out extensive biological experiments. In this paper, the Geometric mapping technique along with Modified Gabor wavelet transform (MGWT) has been incorporated to segregate cancerous and non-cancerous gene sequences. This Gabor wavelet based transform technique used in the present research work benefits from the fact that it is independent of the window length which in conjunction with Geometric mapping is used to obtain the spectral components present in the signal accurately and with reduced complexity. This technique has been applied on numerous benchmark datasets and the results obtained prove the performance of the proposed method.

show abstract

“…The models provide an input for continuous complex wavelet transform that is a promising tool for detection of (short) coding regions in DNA due to a possibility to optimize frequency-position resolution within DNA. Multiresolution signal processing methods have been used in genomics in a number of applications [4]: gene mutation detection [5], denoising [6], exon detection [7], and many others.…”

Section: Introductionmentioning

confidence: 99%

Detection of short exons in DNA sequences using complex wavelet transform of structural features

Provazník

Kubicova

Škutková

et al. 2012

Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)

View full text Add to dashboard Cite

The paper presents a spectral method used for detection of short coding regions in genes. The complex representation of four nucleotides involving three basic chemical and structural properties is used for conversion of a symbolic sequence into a genomic signal. Another genomic signal is generated from dinucleotide propeller twist. Filtered complex combination of both signals is transformed by a complex continuous wavelet transform. Its results were analysed both in amplitude and phase parts. Experimental results obtained by this method are shown to be comparable or better than recently published methods based on the selected set of genes.Index Terms-Exon detection, DNA structure, wavelet analysis, DNA sequence analysis.

show abstract

Discrete wavelet transform de-noising in eukaryotic gene splicing

Cited by 33 publications

References 7 publications

Genomic Analysis and Classification of Exon and Intron Sequences Using DNA Numerical Mapping Techniques

Genomic Analysis and Classification of Exon and Intron Sequences Using DNA Numerical Mapping Techniques

Modified Gabor Wavelet Transform in Prediction of Cancerous Genes

Detection of short exons in DNA sequences using complex wavelet transform of structural features

Contact Info

Product

Resources

About