Computational Genomics for Disease Prediction

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biomedical Engineering and Biomaterials".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 54

Special Issue Editor


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Guest Editor
1. Department of Information, Electronic and Bioengineering, Politecnico di Milano, Milan, Italy
2. Stanford University School of Medicine, Stanford, CA, USA
Interests: bioinformatics; computational biology; applied machine learning; data science; biomedicine
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Advances in computational genomics have revolutionized the field of disease prediction in recent years. By leveraging massive amounts of genomic data, researchers can identify genetic markers and patterns associated with an increased risk of developing various diseases. This Special Issue aims to showcase the latest research and advancements in computational genomics for disease prediction.

With the development of high-throughput sequencing technologies, researchers can now analyze the entire genome of an individual cost-effectively and efficiently. This has enabled the identification of rare and common genetic variants that play a role in the development of complex diseases such as cancer, cardiovascular disease, and neurodegenerative disorders. By integrating genomic data with clinical information and environmental factors, computational genomics can provide personalized risk assessment and enable targeted interventions for individuals at high risk of disease.

Topics of interest include but are not limited to the following:

  1. Genome-wide association studies;
  2. Machine learning algorithms for risk prediction;
  3. Functional annotation of genetic variants;
  4. Integration of multi-omics data for disease prediction.

We welcome submissions from bioinformatics, computational biology, and genetics researchers who are working towards improving disease prediction and prevention through computational genomics.

Dr. Pietro Pinoli
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. Bioengineering 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 2700 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.

Keywords

  • computational genomics
  • disease prediction
  • genetic markers
  • high-throughput sequencing
  • machine learning
  • personalized medicine

Published Papers

This special issue is now open for submission.
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