Biomedical and Bioinformatics Challenges for Computer Science
A special issue of Computers (ISSN 2073-431X).
Deadline for manuscript submissions: closed (25 September 2018) | Viewed by 18303
Special Issue Editors
Interests: distributed computing; bioinformatics; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: bioinformatics, parallel computing, artificial intelligence, data mining
Special Issues, Collections and Topics in MDPI journals
Interests: genetic programming; evolutionary computation; machine learning; neuroevolution; pattern recognition
Special Issues, Collections and Topics in MDPI journals
Interests: algorithm design; computational and parameterized complexity for problems in computational biology; bioinformatics and network analysis
Special Issues, Collections and Topics in MDPI journals
Interests: computational modeling; biomedical engineering; numerical methods; mathematical biology; high-performance computing
Special Issues, Collections and Topics in MDPI journals
Interests: bioinformatics; computational biology; parallel computing; algorithms; distributed computing; computational simulation; applied bioinformatics; artificial and computational intelligence
Special Issue Information
Dear Colleagues,
Emerging technologies in genomics, transcriptomics, metagenomics, and other life science areas are generating an increasing amount of complex data and information. These recent changes related to emerging technologies have made the role of computer science (both in theoretical and applied aspects) much more critical in all the bioinformatics research directions. In order to tackle the growing complexity associated with the management of huge amount of data, researchers need to explore, develop, and apply novel computational concepts, methods, tools, and systems. Many of these new approaches are likely to involve advanced and large-scale computing techniques, computational approaches, technologies and infrastructures.
This Special Issue invites submissions on topics related to these research directions in bioinformatics, such as high-performance architectures and systems, distributed computing (e.g., grid, cloud, peer-to-peer, Web services, e-infrastructures), computational simulation (mechanistic, stochastic, multi-model), algorithms (theoretical and experimental aspects) design and analysis, applied bioinformatics (analysis pipelines, software tools, preprocessing, analysis and integration of clinical and omics data), and artificial and computational intelligence (machine learning, agents, evolutionary techniques, and bio-inspired methods).
The Special Issue also specifically invites extended versions of papers presented at the “Workshop on Biomedical and Bioinformatics Challenges for Computer Science”. Submitted papers should be extended to the size of regular research or review articles with 50% extension of new results. All submitted papers will undergo our standard peer-review procedure. Accepted papers will be published in Open Access format in Computers and collected together in this Special Issue website.
Dr. Giuseppe Agapito
Prof. Mario Cannataro
Dr. Mauro Castelli
Dr. Riccardo Dondi
Prof. Rodrigo Weber dos Santos
Dr. Italo Zoppis
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. Computers is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- High-performance architectures and systems (e.g. multicore, GPU);
- Distributed computing (e.g. grid, cloud, peer-to-peer, Web services, e-infrastructures);
- Computational simulation (mechanistic, stochastic, multi-model);
- Algorithms (theoretical and experimental aspects);
- Applied bioinformatics (analysis pipelines, tools, applications);
- Artificial and computational intelligence (machine learning, agents, evolutionary techniques, bio-inspired methods).
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