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DNA Coding Sequence Prediction: A Review

Authors: Lopamudra Das; J. K. Das; Sarita Nanda; S. Mohapatra;

DNA Coding Sequence Prediction: A Review

Abstract

Identification and prediction of coding sequence in a DNA run is a challenging and interesting task in Bioinformatics. Signal Processing methods maintain a significant role in this context and other related problems. Up to now, several works have been performed on this area, and a surplus amount of computational techniques have been developed. Many review papers have summarized these techniques and many other associated works. However, most of them focus on the methodologies from a particular aspect. This paper aims to briefly summarize the coding sequence prediction methods and attempted to offer a brief technical suggestion for potential study. In addition, this review puts light on the upcoming trend and revolutionary methods that are supposed to be able to better research in future.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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