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Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

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Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
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Updated: Sep 6, 2025

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

Genomics enters the deep learning era.

Etienne Routhier¹, Julien Mozziconacci²

¹LPTMC, Sorbonne Université, Paris, France.

|June 30, 2022

Summary

This summary is machine-generated.

Deep learning is revolutionizing bioinformatics with deep genomics, analyzing vast biological sequence data. This technology enhances genome annotation, identifies function determinants, and enables synthetic sequence generation.

Keywords:

Bioinformatics Deep learning Epigenomics Genetics Genomics Metagenomics Neural networks Personalized medecine Review Synthetic genomes

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DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

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Area of Science:

Bioinformatics
Genomics
Machine Learning

Background:

The exponential growth of biological sequence data necessitates advanced analytical methods.
Deep learning (DL) techniques, successful in computer vision and NLP, offer powerful new tools for bioinformatics.

Approach:

This review explores the transformative impact of applying DL to genomic sequences, termed deep genomics.
We focus on DL's applications in functional genome annotation, deciphering sequence-function relationships, and generating synthetic genomic data.

Key Points:

Deep genomics facilitates high-throughput functional annotation of genomes.
DL models can elucidate the sequence determinants underlying genome functions.
The application of DL extends to the creation of novel, synthetic genomic sequences.

Conclusions:

Deep learning represents a paradigm shift in genomic data analysis.
Deep genomics is poised to accelerate discoveries in functional genomics and synthetic biology.