Special Issue "When Genes Meet Artificial Intelligence and Machine Learning"

A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Bioinformatics".

Deadline for manuscript submissions: 5 November 2023 | Viewed by 155

Special Issue Editor

Institute for Food Safety and Health, Illinois Institute of Technology, Chicago, IL 60501, USA
Interests: microbial genomics; environmental microbiology; microbial ecology; bioinformatics; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues, 

In recent years, artificial intelligence (AI) and machine learning (ML) have gained significant attention, with publications doubling every 2.5 years, and have gained significant attention in the field of genetics. As the generated genomic data are being accumulated fast, the application of machine learning in gene research has become increasingly important. This has led to the development of novel techniques and approaches that enable researchers to analyze and interpret large-scale genomic data.

The aim of this Special Issue of Genes is to showcase the latest advances in the field of machine learning and its application in gene research. This issue will provide a platform for researchers to share their experiences, successes, and challenges in the use of machine learning algorithms to analyze and interpret genetic data.

One example of the successful application of machine learning in gene research is the PlasmidHunter tool by our guest editor. PlasmidHunter is a machine learning-based tool that predicts the type of DNA molecules in bacterial genomes using sequence data. It achieves an impressive accuracy of 96% and has been shown to outperform traditional methods for plasmid detection.

We invite researchers to submit original research articles, reviews, and perspectives that demonstrate the application of machine learning techniques in gene research. This issue aims to foster interdisciplinary collaborations between computer scientists and geneticists, and to promote the development of new tools and approaches that will advance our understanding of genetics and genomics.

Dr. Renmao Tian
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Genes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • artificial intelligence
  • machine learning
  • gene
  • genome

Published Papers

This special issue is now open for submission.
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