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Multi-Omics Data Integration and Bioinformatics Tools in Oncology

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Informatics and Big Data".

Deadline for manuscript submissions: 20 December 2026 | Viewed by 133

Special Issue Editors

Versiti Blood Research Institute, Milwaukee, WI, USA
Interests: epitranscriptomics; genomics; epigenetics; multi-omics integration; cancer biology; bioinformatics and biostatistics

E-Mail Website
Guest Editor
Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Dr., Suite 1400, Chicago, IL 60611, USA
Interests: biomarker discovery; cancer; epigenetics; liquid biopsy; human genetics; complex traits; bioinformatics

Special Issue Information

Dear Colleagues,

Advances in high-throughput sequencing and other omics technologies have generated vast amounts of molecular data that provide unprecedented opportunities to understand cancer biology that could translate into better clinical outcomes. Integrating diverse datasets, including genomics, transcriptomics, epigenomics, proteomics, glycomics, and metabolomics, has become essential for revealing the complex regulatory mechanisms underlying tumor development, progression, and therapeutic response.

This Special Issue, entitled “Multi-Omics Data Integration and Bioinformatics Tools in Oncology”, will highlight innovative computational approaches, bioinformatics tools, and analytical frameworks designed to integrate and interpret multi-omics data in cancer research. We welcome contributions describing new algorithms, machine learning and artificial intelligence methods, integrative analysis pipelines, and computational platforms that facilitate the discovery of biomarkers, cancer subtypes, and molecular mechanisms.

By bringing together advances in data integration, computational modeling, and translational oncology, this Special Issue will promote interdisciplinary collaboration and accelerate the development of precision oncology strategies. We invite researchers to contribute original research articles and reviews that advance the analysis and application of multi-omics data in cancer research.

Dr. Tongjun Gu
Prof. Dr. Wei Zhang
Guest Editors

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 communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

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. Cancers is an international peer-reviewed open access semimonthly 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 2900 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

  • cancer multi-omics integration
  • biomarker discovery
  • precision oncology
  • machine learning in cancer research
  • cancer bioinformatics
  • systems biology
  • functional genomics
  • translational oncology

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Published Papers

This special issue is now open for submission.
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