SCOPE
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The success of Bioinformatics in recent years has been prompted by research in Molecular Biology and Molecular Medicine in several initiatives. These initiatives gave rise to an exponential increase in the volume and diversification of data, including nucleotide and protein sequences and annotations, high-throughput experimental data, biomedical literature, among many others.

Systems Biology is a related research area that has been replacing the reductionist view that dominated Biology research in the last decades, requiring the coordinated efforts of biological researchers with those related to data analysis, mathematical modeling, computer simulation and optimization.

The accumulation and exploitation of large-scale data bases prompts for new computational technology and for research into these issues. In this context, many widely successful computational models and tools used by biologists in these initiatives, such as clustering and classification methods for gene expression data, are based on Computer Science/ Artificial Intelligence (CS/AI) techniques. In fact, these methods have been helping in tasks related to knowledge discovery, modeling and optimization tasks, aiming at the development of computational models so that the response of biological complex systems to any perturbation can be predicted.

The 18th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB'24) aims to promote the interaction among the scientific community to discuss applications of CS/AI with an interdisciplinary character, exploring the interactions between sub-areas of CS/AI, Bioinformatics, Chemoinformatics and Systems Biology.

Brand new ideas in these fields are sought, as well as substantial and relevant revisions and actualizations of previously presented work, project summaries and PhD thesis presented or not.


info@pacbb.net





TOPICS
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PACBB welcomes contributions reporting substantial, original and previously unpublished work in all areas of Bioinformatics, Chemoinformatics and Systems Biology. The papers can be presented from a formal, methodological, technical or applied point of view.


Biological areas of interest include, but are not limited to:

- Next generation sequencing
- Comparison and alignment methods
- Motif, gene and signal recognition
- Molecular evolution
- DNA twisting and folding
- High-throughput data analysis (transcriptomics, proteomics, etc)
- Phylogenetics and phylogenomics
- Determination or prediction of the structure of RNA and proteins
- Gene expression data analysis
- Identification of metabolic pathways
- Functional genomics
- Biomarker identification
- Molecular docking and drug design
- Computational problems in genetics such as linkage and QTL analysis, linkage disequilibrium analysis in populations, haplotype determination, SNPs
- Molecular and cellular interactions
- Emergence of properties in complex biological systems
- Visualization of biological systems and networks
- Data and software integration
- Biomedical ontologies
- In silico optimization of biological systems
- Metabolic engineering applications
- Cell simulation and modeling
- Metabolic, regulatory and signaling models/ networks: properties, dynamics, inference/ reconstruction
- Metabolomics/ metabolic fingerprints
- Health-care applications
- Bio imaging


Computacional areas of interest include, but ar not limited to:

- Knowledge Discovery and Data Mining techniques
- Text Mining and Language Processing
- Machine Learning and Pattern Recognition
- Rough, Fuzzy and Hybrid Techniques
- Hidden Markov Models
- Bayesian Approaches
- Artificial Neural Networks
- Support Vector Machines
- Evolutionary Computing
- Case-Based Reasoning systems
- Non-linear dynamical analysis methods and Intelligent signal processing
- Feature selection




PLENARY SPEAKERS
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Mikel Diez Parra, Quantum Global Enablement Lead - IBM Research (Spain) 

Chee Kit LOOI, The Education University of Hong Kong (China)

Martin Saska, Multi-robot Systems Group (Czech Republic)

Jeffrey Alan Tomalka, Emory University (USA)

Adriana Tomic, Boston University (USA)

Nidal Nasser, Alfaisal University(Saudi Arabia)





SPECIAL ISSUES
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Authors of selected papers from PACBB will be invited to submit anextended and improved version to special issue in different journals.


∎ Special issue in the Journal of Integrative Bioinformatics JCI (2022): 0.73 (Q2)

∎ Special issue IJIMAI - International Journal of Interactive Multimedia and Artificial Intelligence JCR (2022): 3.6 (Q3)

∎ Special issue "Internet of Things (IoT) and Cloud Computing Technologies for Smart Cities and Rural Areas: Sensing and Information Management Technologies" MDPI Sensors Journal JCR (2022): 3.9 (Q1)

∎ Special issue "Blockchain Applications in the Metaverse for Smart Cities" MDPI Smart Cities Journal, JCR (2022): 6.4 (Q1)

∎ Special issue "Advanced Architectures for Hybrid Edge Analytics Models on Adaptive Smart Areas" MDPI Electronics Journal JCR (2022): 2.9 (Q2)

∎ Special Issue on the Journal Future Internet: “Deep Learning in Recommender Systems” published in MDPI Future Internet Journal JCR (2022): 3.4

∎ Special Issue on the Journal Future Internet: “Security in the Internet of Things (IoT)”” published in MDPI Future Internet Journal, JCR (2022): 3.4

∎ Special issue "Advancements in Practical Applications of Agents, Multi-Agent Systems and Digital Twins" MDPI Systems Journal, JCR (2022): 1.9 (Q2)

∎ Special issue ADCAIJ - Advances in Distributed Computing and Artificial Intelligence Journal JCR (2022): 1.4, JCI (2022): 0.09 (Q4)





COMMITTEES
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PROGRAM COMMITTEE CHAIRS


Miguel Rocha, University of Minho (Portugal)

Sara Cuadrado, Icahn School of Medicine, Mount Sinai (USA)



ORGANIZING COMMITTEE CHAIRS


Florentino Fdez-Riverola, University of Vigo (Spain)

Mohd Saberi Mohamad, United Arab Emirates University (United Arab Emirates)



ADVISORY BOARD


Ana Belén Gil-González, University of Salamanca (Spain)

Gabriella Panuccio, Istituto Italiano di Tecnologia (Italy)






DOCTORAL CONSORTIUM
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The aim of the Doctoral Consortium is to provide a framework as part of which students can present their ongoing research work and meet other students and researchers and obtain feedback on lines of research for the future.

The Doctoral Consortium is intended for students who have a specific research proposal and some preliminary results, but who are still far from completing their dissertation.

All proposals submitted to the Doctoral Consortium will undergo a thorough reviewing process with the aim of providing detailed and constructive feedback. The accepted submissions will be presented at the Doctoral Consortium and published in the conference proceedings.




PUBLICATION
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Accepted papers will be included in PACBB Proceedings, published by Springer.


At least one of the authors will be required to register and attend the symposium to present the paper in order to include the paper in the conference proceedings. All the accepted papers will be published by Lecture Notes in Networks and Systems series of Springer Verlag.


** Indexing: The books of this series are submitted to DBLP, INSPEC, Norwegian Register for Scientific Journals and Series, SCImago, SCOPUS, WTI Frankfurt eG, zbMATH, Google Scholar, Springerlink. **


MDPI Electronics Best Paper Awards

MDPI Systems Best Paper Awards





IMPORTANT DATES
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Deadline: --15th March, 2024-- --5th April, 2024-- 12th April, 2024
Deadline Doctoral Consortium: --22nd March, 2024-- --12th April, 2024-- 26th April, 2024
Notification of acceptance: --26th April, 2024-- 3rd May, 2024
Camera-Ready papers: 17th May, 2024
Conference Celebration: 26th-28th June, 2024




ORGANIZERS
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University of Minho (Portugal)

Icahn School of Medicine, Mount Sinai (USA)

University of Vigo (Spain)

United Arab Emirates University (United Arab Emirates)

University of Salamanca (Spain)

Istituto Italiano di Tecnologia (Italy)





SPONSORS
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AIR INSTITUTE




SUPPORT FROM RESEARCH ASSOCIATIONS, INSTITUTIONS & LABS
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AEPIA
APPIA
LASI