A simple algorithm for gene prediction with improved noise suppression

Shakya, Devendra Kumar; Saxena, Rajiv; Sharma, Sanjeev

doi:10.1109/icosp.2010.5656361

Cited by 3 publications

(1 citation statement)

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“…For example true positive (TP) is number of coding nucleotides correctly predicted as coding and false positive (FP) is number of noncoding nucleotides predicted as coding. True negative (TN) is number of non-coding nucleotides correctly predicted as noncoding and false negative (FN) is number of coding nucleotides predicted as non-codlings [12]. The definition of these parameters is illustrated by figure-6.…”

Section: Simulation Resultsmentioning

confidence: 99%

Detection of Protein Coding Regions using Goertzel Algorithm

Verma¹,

Shakya²

2015

IJCA

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Processing and interpretation of genomic sequence by DSP (digital signal processing) tools has attracted many researchers in last two decades particularly, the protein coding regions (exons) detection have been a challenging task in bioinformatics. The three base periodicity (TBP) or period-3 property of exonic regions form basis for most researchers for identification purpose. Many DSP based model dependent and model independent techniques have been applied for identification but still improvement is needed. In this article, a simple model independent technique using Goertzel algorithms proposed for exonic regions detection. The potential of the proposed method have been evaluated on the basis of performance parameters like sensitivity, specificity and correlation coefficient and found that the proposed method provides better performance than conventional DFT methods.

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Section: Simulation Resultsmentioning

confidence: 99%