Gene Prediction Using Deep Learning

EasyChair Preprint 8146

Abstract

Over the last decade, different genomes have been sequenced in both plants and animals. The lower cost of genome sequencing shows that it has a significant impact on the research community in terms of genome annotation. Genome annotations help us understand the biological function of the sequences of these genomes. Gene prediction is one of the most important aspects of genomic annotation and  is an open research issue. This article provides a theoretical overview of soft computing technologies for gene prediction. First, I will explain the questions related to the problem of gene prediction. Next, before discussing its application to gene prediction, let's take a brief look at soft computing technology. A list of various soft computing technologies for gene prediction is also available. Finally, some limitations of the direction of current  and future research  are presented.

Keyphrases: Convolutional Neural Networks, ORF, gene, gene prediction

@booklet{EasyChair:8146,
  author    = {Akhil Chaudhary and Divesh Kumar Singh and Tanmeya Kansal and Sachin Jain},
  title     = {Gene Prediction Using Deep Learning},
  howpublished = {EasyChair Preprint 8146},
  year      = {EasyChair, 2022}}