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A review of deep learning applications in human genomics

A review of deep learning applications in human genomics using next-generation sequencing data

Please take some time to read this paper: A review of deep learning applications in human genomics using next-generation sequencing data.

The abstract highlights the increasing prominence of data-driven genomics and the challenges posed by the massive amount of genomic data generated through high-throughput technologies. To tackle these challenges and extract meaningful patterns, artificial intelligence, particularly deep learning methods, has played a crucial role.

The review explores the development and application of deep learning models in various subareas of human genomics and identifies both over-charted and under-charted areas in this domain. The abstract also briefly discusses the underlying algorithms of genomic tools based on deep learning.

Furthermore, it touches upon the recent applications of deep learning tools in genomics. Overall, this review serves as a timely and valuable resource for biotechnology and genomic scientists, offering guidance on when and how to leverage deep learning techniques for analyzing human genomic data.

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AI and Bioinformatics: Genomic Data Analysis

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