Bioinspired Computation: Recent Advances in Theory and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 18344
Special Issue Editor
Special Issue Information
Dear Colleagues,
Bioinspired computation is a relatively new area of science which heavily relies on biology, computer science, and mathematics. It is mainly focused on the design of high-performance computational models inspired by phenomena in biochemistry, biology, and genetics. These models inspired by the way in which nature “computes” are powerful tools to solve both hard theoretical problems as well as real-life problems.
Along the same lines, this issue is intended to be an interdisciplinary study that links biological data with techniques from information processing, algorithms, and statistics. The main goals are the development of efficient algorithms for measuring sequence similarity, for information retrieval from biological databases, and for extending experimental data by predictions.
Topics of either theoretical or applied interest include but are not limited to:
- Bioinspired computational models based on “in vitro” or “in vivo” molecular biology techniques;
- Theoretical properties of bio-operations and applications;
- DNA, molecular, and membrane computing;
- Modeling, designing, and analysis of synthetic self-assembled systems;
- Systems biology;
- Identifying gene structures in the genome and recognizing regulatory motifs;
- Computational methods in medicine and nanotechnology;
- Network controllability algorithms in biology and medicine;
- Algorithms for genomic distances by rearrangements;
- Exact and approximate sequence analysis.
Prof. Dr. Victor Mitrana
Guest Editor
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