Special Issue "Complexity and Symmetry in Biosystems"
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Biology and Symmetry/Asymmetry".
Deadline for manuscript submissions: closed (31 January 2020).
Special Issue Editor
Interests: biocomplexity; collective dynamics; ecology and evolution of biological and socio-technological systems; systemic risk analysis; decision science; complex networks; network science; information theory; stochastic processes; fractals; uncertainty; ecohydrology; hydrodynamics; sustainability; ecosystem health; ecodesign; ecosystem modeling; data science; biomimicry; bio-inspired design; macroecology; physiophysics; ecosystem pathology; forecasting; interdisciplinary applications of statistical physics; design by analogy; food systems; physio-linguistics; microbiome; epigenetics; envirome; aquatic and marine ecosystems
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Special Issue Information
Dear Colleagues,
The amount and diversity of biological data is increasing exponentially considering the rapid evolution of technology in our society. Data allow us to better understand the biological dynamics of complex biosystems from the gene to the continental scale and improve theories. Data and associated models also allow us to map the nexus between patterns and processes that can guide the optimal control of ecosystems. Here, we seek research that aims to detect fractal patterns in biology with a clear interest to understand the dynamics of the underlying processes and their trajectories as a function of intrinsic evolution and externalities. Strong and weak symmetrical patterns driven by collective behavior in nature are ubiquitous, as well as broken symmetrical patterns manifesting phase transitions of biological systems. Specific topics of interest are omics biological phenomena such as microbiome, proteome, epigenome, connectome, complex biomarker systems, and multiscale species communities in ecosystems. Symmetry, the causal investigation of symmetry deviations, and optimal control can be sought with any method but a preference is for theoretical and computational studies using stochastic processes, statistical physics, information, and network theory and methods. Experimental studies are also welcome, as well as papers targeting bio-inspired applications such as bio-based technology and interventions for ecosystem management, public health, and precision medicine. Lastly, studies exploring the analogy between the computational complexity of models and biological systems as computing machines are strongly encouraged.
Prof. Dr. Matteo Convertino
Guest Editor
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 papers will be 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. Symmetry 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
- biocomplexity
- multiscale
- symmetry
- phase transitions
- omics
- collective