Multi-Omics Data Integration in Complex Diseases (2nd Edition)
A special issue of Biology (ISSN 2079-7737). This special issue belongs to the section "Bioinformatics".
Deadline for manuscript submissions: 31 January 2027 | Viewed by 1867
Special Issue Editors
Interests: bioinformatics; disease genomics; big data integration
Special Issues, Collections and Topics in MDPI journals
Interests: proteomics; liquid chromatography; mass-spectrometry; computational biology methods; biomarker discovery; systems biology; protein–protein interaction network; co-expression networks
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Genetic and multifactorial diseases kill millions of people worldwide. These include diabetes, cardiovascular disease, respiratory disease, Parkinson's disease, Alzheimer's disease, and many forms of cancer.
The molecular causes of these diseases can have multilevel effects, ranging from gene expression to protein and metabolic alterations.
To shed light on these mechanisms, genomic, transcriptomic, proteomic, and metabolomic technologies provide essential support, as do increasingly robust and comprehensive molecular network models.
Although integrating and interpreting the complexity of different molecular levels remains a challenge, these strategies represent a promising starting point for unravelling the influence molecular interactions underlying complex diseases. In addition to providing a holistic description of emerging mechanisms, they can identify target molecules whose discovery could improve and accelerate the development of increasingly precise and accurate drugs.
Furthermore, in this scenario, the roles of innovative omics technologies, such as single-cell or imaging technologies, as well as computational strategies based on artificial intelligence, are increasingly impactful.
Based on these premises, this Special Issue will collect manuscripts that provide valuable information for the clinical, basic, and applied drug development research communities.
Specifically, we invite submissions on the following:
(1) Molecular insights through the integration of multiomics data and molecular networks;
(2) Novel computational frameworks for the integration and interpretation of large amounts of omics data;
(3) Diagnostic strategies based on omics and computational methods such as artificial intelligence;
(4) Identification of molecular targets for the development of new drugs.
We accept a varied types of manuscripts, including original research articles and meta-analyses, timely reviews, and short communications.
Dr. Min Zhao
Dr. Dario Di Silvestre
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 short 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. Biology 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 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
- omics
- data integration
- computational biology
- network analysis
- artificial intelligence
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Related Special Issue
- Multi-omics Data Integration in Complex Diseases in Biology (18 articles)
