Artificial intelligence in genomics
- Submission status
- Open
- Submission deadline
Artificial intelligence (AI) has emerged as a powerful platform to streamline the analysis of complex genomic datasets and help researchers explore the genetic basis of important diseases or phenotypes. In a new Call for Papers, Communications Biology, Nature Communications and Scientific Reports are interested in submissions that highlight the possibilities offered by AI approaches to improve genomics research, regardless of the model system.
Original research Articles can report novel methods that involve AI-based algorithms or focus on specific applications of machine or deep learning to identify or prioritise genes and variants associated with a particular trait. Communications Biology and Nature Communications will also consider Reviews, Perspectives, and Comments that are relevant to these topics, though all submissions will be subject to the same peer review process and editorial standards as regular manuscripts considered at the respective journals.
Editors
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Kaoru Ito, PhD
RIKEN Center for Integrative Medical Sciences, Japan
