Application of High-Throughput Omics Sequencing in Personalized Medicine
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Genetics and Genomics".
Deadline for manuscript submissions: closed (28 February 2024) | Viewed by 8912
Special Issue Editor
Special Issue Information
Dear Colleagues,
Personalized medicine is fundamentally changing how health care is practiced. One important component of this field is the use of an individual’s omic information to offer targeted treatment, tailored to the patient. This Special Issue on “Application of High-Throughput Omics Sequencing in Personalized Medicine” welcomes original investigations, novel methodologies, and concise review manuscripts focusing on the use of omics datasets in personalized medicine, including but not limited to genomics, transcriptomics, epigenomics and microbiomics. In detail, this domain requires generation of and access to massive omics and clinical datasets, as well as adequate statistical and bioinformatics tools. Therefore, we are particularly interested in manuscripts describing integrative omics databases, “big data” analysis programs or protocols, and outputs from omics consortia. Furthermore, the generation of large datasets relies on suitable technologies such as bulk, single-cell and spatial sequencing. Thus, advances in sequencing platforms and library preparation protocols allowing the characterization of any omics landscape will be welcomed in this Special Issue. Novel or repurposed omics biomarkers for diagnosis, treatment strategies and prognosis can be considered; however, since IJMS is a molecular science journal, pure clinical or model studies will not be suitable. Nonetheless, clinical or pure model submissions with biomolecular experiments are welcomed.
Dr. Touati Benoukraf
Guest Editor
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Keywords
- omics
- short-read sequencing
- long-read sequencing
- single-cell sequencing
- screening
- diagnosis
- treatment strategies
- algorithms
- artificial intelligence
- personalized medicine
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