Genomics enters the deep learning era
Résumé
The tremendous amount of biological sequence data available, combined with the recent methodological breakthrough in deep learning in domains such as computer vision or natural language processing, is leading today to the transformation of bioinformatics through the emergence of deep genomics, the application of deep learning to genomic sequences. We review here the new applications that the use of deep learning enables in the field, focusing on three aspects: the functional annotation of genomes, the sequence determinants of the genome functions and the possibility to write synthetic genomic sequences.
Mots clés
Subjects Bioinformatics Genomics Synthetic Biology Medical Genetics Computational Science Deep learning Genomics Genetics Epigenomics Bioinformatics Review Neural networks Personalized medecine Synthetic genomes Metagenomics
Subjects Bioinformatics
Genomics
Synthetic Biology
Medical Genetics
Computational Science Deep learning
Genetics
Epigenomics
Bioinformatics
Review
Neural networks
Personalized medecine
Synthetic genomes
Metagenomics
Domaines
Sciences du Vivant [q-bio]
Origine : Fichiers produits par l'(les) auteur(s)