Algorithms and Data Analysis of High Throughput Sequencing in Cancers
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Informatics and Big Data".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 1845
Special Issue Editors
2. Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
Interests: bioinformatics; biostatistics; non-coding RNAs; lymphoma; high-throughput sequencing data analysis; diagnostic and prognostic biomarkers discovery
Special Issues, Collections and Topics in MDPI journals
Interests: gene expression; human genetics; genomics; computational biology; next-generation sequencing; bioinformatics and computational biology; cancer genomics
Special Issue Information
Dear Colleagues,
The acquisition of cancer hallmarks requires molecular alterations at multiple levels, including genome, epigenome, transcriptome, proteome, and metabolome levels. High-throughput DNA sequencing has contributed to the identification of cancer-specific mutations, epigenetic alterations, and molecular subtyping of tumors. Moreover, large-scale tumor molecular profiling programs across different cancer types hold the promise of improving diagnostics, prognostics, and personalized treatment.
High-throughput omics data create huge bioinformatic challenges including storage, transmission, manipulation, and analysis, making the downstream processing of data a daunting task.
Therefore, new bioinformatic methods are required to biologically extract sequencing data from meaningful information and present them in an easily interpretable format.
In this Special Issue, we will discuss bioinformatic methodologies and statistical approaches, with a special emphasis on how the omics data are being analyzed, stored, and manipulated to aspire or create new ways of diagnosing and treating cancers.
Dr. Luciano Cascione
Dr. Marco Bolis
Guest Editors
Manuscript Submission Information
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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
- computational biology
- bioinformatics
- machine learning
- artificial intelligence
- next-generation sequencing
- oncology
- cancer
- precision medicine
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