Application of Informatics and Computing Techniques to Biological Data Processing and Analysis
A special issue of Computation (ISSN 2079-3197). This special issue belongs to the section "Computational Biology".
Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 3093
Special Issue Editors
Interests: artificial intelligence; big data; bioinformatics; data mining; machine learning; medical informatics; text mining
Interests: machine and deep learning; evolutionary computation; bioinformatics; systems biology; constraint-based modeling; metabolomics
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; nonlinear control; stochastic systems; optimization; blockchain
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; bioinformatics; data science; computational biology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Advances in the life sciences today are generating an enormous amount of data that can no longer be analyzed using mere statistical techniques or manually. The field of bioinformatics, a confluence of data analysis techniques and experimental protocols in biomedical sciences, has emerged to solve this problem. The application of computational techniques to biology has enabled enormous advances in genetics thanks to next-generation sequencing or in pharmacology thanks to the in silico design of drugs and active products.
The current use of bioinformatics techniques extends from the mathematical modeling of biological phenomena to the analysis of big data in healthcare to develop community health applications, leading to beneficial improvements in hardware, such as parallelization capacity or computing on graphics cards.
This Special Issue invites original papers that push the boundaries of innovation in bioinformatics and the application of computer science in the life sciences, including those on the applicability of artificial intelligence to these fields, new hardware developments, data analysis pipelines, or use cases in clinical practice.
The particular topics of interest include but are not limited to:
- Next-generation sequencing;
- Molecular evolution;
- High-throughput data analysis;
- Identification of metabolic pathways;
- Biomarker identification;
- Molecular and cellular interactions;
- In silico optimization of biological systems;
- Healthcare applications;
- Biological signal analysis;
- Artificial Intelligence applied to biological problems;
- Nonlinear dynamical analysis methods and intelligent signal processing;
- Feature selection.
Prof. Dr. Florentino Fdez-Riverola
Dr. Miguel Rocha
Dr. Roberto Casado Vara
Prof. Dr. Mohd Saberi Mohamad
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 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. Computation 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 1800 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
- Next generation sequencing
- Molecular evolution
- High-throughput data analysis
- Identification of metabolic pathways
- Biomarker identification
- Molecular and cellular interactions
- In silico optimization of biological systems
- Health-care applications
- Biological signal analysis
- Artificial Intelligence applied to biological problems
- Non-linear dynamical analysis methods and Intelligent signal processing
- Feature selection
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