Advanced perspectives of biocomputational gene discovery

A Review

Authors

  • Shilpa Tiwari Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana-141004, Punjab India Author
  • CS Mukhopadhyay Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana-141004, Punjab India Author

DOI:

https://doi.org/10.59317/efnfpt15

Keywords:

Gene prediction, Bioinformatics tools, In silco approaches

Abstract

Gene discovery is one of the most significant processes in understanding and analysis of an organism’s genome after its sequencing. The method comprises determining the location of intron structures, exon structures, and open reading frames (ORFs). It computationally specifies all of the genes with near 100% reliability. It can substantially reduce the amount of wet lab experimentation. In eukaryotic genomes, mosaic organization occurs when a gene is divided into exons by intervening noncoding regions (called introns). Several methods are available for gene finding such as laboratory-based approaches, feature-based approaches homology-based approaches, and statistical and HMM-based approaches. In this paper, we aim to discuss in silco approaches for gene prediction with available bioinformatics tools for gene finding.

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Published

18-11-2024

How to Cite

Advanced perspectives of biocomputational gene discovery: A Review. (2024). The Indian Journal of Animal Genetics and Breeding, 43(1,2), 85-94. https://doi.org/10.59317/efnfpt15

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