INSWF DNA signal analysis tool : Intelligent noise suppression window filter

Ahmad, Muneer and Ahmad, Iftikhar and Bilal, Muhammad and Jolfaei, Alireza and Mehmood, Raja Majid (2021) INSWF DNA signal analysis tool : Intelligent noise suppression window filter. Software - Practice and Experience, 51 (3). pp. 670-685. ISSN 0038-0644

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Abstract

DNA signals mainly differ from standard digital signals due to their biological data contents. Owing to unique properties of DNA signals the conventional signal processing techniques, such as digital filters, suffers with spectral leakage and results in insignificant noise suppression in DNA sequence analysis. This article presents an intelligent noise suppression window filter (INSWF) for DNA signal analysis. The filter demises the signal by separating high-level frequency contents and by identifying nucleotides with high fuzzy membership contribution at particular locations. The nucleotide contents of signals are later filtered by application of median filtering employing a combination of s-shaped and z-shaped filters. The fundamental characteristic of codons usage that causes uneven nucleotides segmentation has been tackled by finding the best fit of the curve in biological contents of filter. One of the fuzzy correlations existing between codons and median that nucleotides incorporated to reduce the signal noise to a larger magnitude. The INSWF filter outperformed the existing fixed-length digital filters tested over 250 benchmarked and random datasets of various species. A notable enhancement of 45% to 130% was achieved by significantly suppressing signal noise as compared with conventional digital filters in DNA sequence analysis.

Item Type:
Journal Article
Journal or Publication Title:
Software - Practice and Experience
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1712
Subjects:
?? adaptive digital filtercodon usagedigital filterdna sequence analysisfixed-length filterfuzzy rulessignal noisesoftware ??
ID Code:
205181
Deposited By:
Deposited On:
28 Sep 2023 10:55
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Jul 2024 00:15