=== CIBB 2021 -- the 17th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics == =

The main goal of the CIBB international conference is to provide a multi-disciplinary forum open to researchers interested in the application of computational intelligence, in a broad sense, to open problems in bioinformatics, computational biology, biostatistics, systems and synthetic biology and medical informatics. Cutting-edge methodologies capable of accelerating life science discoveries will be the main focus of the conference, together with data mining technologies applied to real-life scenarios in biology and health. Following its tradition and roots, this year's meeting will gather researchers and practitioners from the international scientific community interested in advancements and future perspectives in bioinformatics and biostatistics. Also, looking at current trends and future opportunities at the edge of computer and life sciences, the application of computational intelligence to system and synthetic biology, and the consequent impact on innovative medicine will be of great interest for the participants. Theoretical and experimental biologists are also invited to participate in order to present novel challenges and foster multidisciplinary collaboration.

The scientific program of CIBB 2021 will include keynote speakers, tutorials and special sessions. Contributed papers will be presented in plenary oral sessions, and special sessions. The CIBB 2021 conference will be an online event.
This call for papers invites researchers to submit a short paper (4-6 pages) that will go through a peer review and, if accepted, will be presented at the conference.
After the conference, the authors of all the accepted short papers will be invited to submit an extended version of their manuscript for the conference proceedings book in Springer Lecture Notes in Computer Science (LNCS) or for a journal supplement in BMC Bioinformatics or BMC Medical Informatics.

Topics of interest include:
Machine learning methods for bioinformatics and health informatics
Next generation sequencing bioalgorithms
Multi-omics data analysis
High dimensional statistical analysis of omics data
Algorithms for alternative splicing analysis
Algorithms for molecular evolution and phylogenetic analysis
Methods for the visualization of high dimensional complex omic data
Software tools for bioinformatics
Methods for comparative genomics
Computational tools applied to proteomics
Methods for functional classification of genes
Methods for unsupervised analysis, validation and visualization of structures discovered in bio-molecular data
Health-Informatics and Medical Informatics
Biomedical and Microscopy Imaging
Methods for the integration of clinical and genetic data
Heterogeneous data integration and data fusion for diagnostics
Algorithms for pharmacogenomics
Biomedical text mining
Methods for diagnosis and prognosis within personalized medicine
Statistical methods for the analysis of clinical data
Prediction of secondary and tertiary protein structures
Advanced pathway enrichment analysis methods
Mass spectrometry data analysis in proteomics
Algorithms for molecular evolution and phylogenetic analysis
Bio-molecular databases and data mining
Mathematical modeling and automated reasoning on biological and synthetic systems
Computational simulation of biological systems
Methods and advances in systems biology
Spatio-temporal analysis of synthetic and biological systems
Network systems biology
Models for cell populations and tissues
Methods for the engineering of synthetic components
Modelling and engineering of interacting synthetic and biological systems
Software tools for bioinformatics, biostatistics, systems and synthetic biology

Please check the official CIBB 2021 website for additional information:
http://www.isa.cnr.it/cibb2021/

Dates
Paper submission: 15 September 2021
Acceptance/rejection notification: 15 October 2021
Camera ready due: 30 October 2021
Conference: 15 - 17 November 2021

Submission of papers
Prospective authors should submit short papers prepared according to the following instructions:
The short papers should be submitted in PDF format (this is the only accepted format).
The short papers length should be at least 4 pages and should not exceed 6 pages in total.
The short papers should be written in British English or North American English. Please perform a grammar spell-check and correct any typos or mistakes before the submission.
The short papers should include 10 references at most.
We warmly recommend the use of the provided templates available for LaTeX (preferred), LibreOffice Writer, and Microsoft Word. The LaTeX template is also available for free on Overleaf.com
Short papers should adhere, as much as appropriate, to the following structure and sections: 
Scientific background
Data and methods
Results
Conclusions
References (maximum 10)
The submission website will be available soon on EasyChair.


Publication
The PDF versions of accepted short papers will be distributed at the conference. At least one author of an accepted paper is required to register and present the paper at the conference.
The authors of all the accepted short papers (both of the main track and of the special sessions) will be invited to submit an extended version of their work to the post-conference monograph or supplements. We plan to invite all the papers for a volume in the Springer series of Lecture Notes in Bioinformatics (LNBI), or to a supplement of an international scientific journal (such as BMC Bioinformatics and BMC Medical Informatics, as in the latest editions). Please see the past editions webpage to find the books of the proceedings and supplements of the past editions of the conference to get a sense of them.

Keynote speakers
Karsten Borgwardt (ETH Zurich)
Ombretta Melaiu (Ospedale Pediatrico Bambino Gesù)
André M. Carrington (Ottawa Hospital and Region Imaging Associates)
Jacques Balayla (McGill University)

Special sessions
Artificial intelligence and statistical methods for neurodegenerative diseases
Modeling and simulation methods for computational biology and systems medicine
Bio-inspired AI and AI-inspired (bio)chemical intelligence: a viable two-way path?
Towards standardizing machine learning in life sciences: the FAIR principles and the DOME recommendations
Machine learning in healthcare informatics and medical biology

Please check the official CIBB 2021 website for additional information:
http://www.isa.cnr.it/cibb2021/

You can contact the CIBB 2021 organizers at: cibb2021(AT)protonmail.com

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