Special Session #5

Computational Biology, Bioinformatics and Data Science: Methods, Practices and Applications

 

Chairs:

Prof. Nizamettin Aydın, İstanbul Technical University, Faculty of Computer and Informatics, Istanbul, Türkiye; e-mail: naydin@itu.edu.tr

Prof. Ram Bilas Pachori, Indian Institute of Technology Indore, Department of Electrical Engineering, India; e-mail: pachori@iiti.ac.in

Prof. Hüseyin Şeker, University of Sharjah, College of Computing and Informatics, United Arab Emirates; e-mail: hseker@sharjah.ac.ae


Bioinformatics, as a sub-branch of computing and biology, is oriented towards acquiring, storing, analyzing and disseminating data related to biological systems. In such a context, examination of how a normal cell activity changes during a health problem requires the combination of data concerned with a plethora of compounds and interpreting the changes accurately and timely. All these processes and tasks related to analysis and interpretation have to do with the process termed as computational biology. The uses of bioinformatics cover a broad range of fields including but not limited to artificial intelligence (AI) including machine learning algorithms, data visualization, pattern recognition, and so on. Owing to the advances achieved in biotechnology, developing more effective genetic treatments and efficient drugs will be enabled to be able to combat against health-related and environmental challenges.

Hence, the aim of our special issue is to present and discuss novel ideas, applications and case studies addressing the methods, principles and practices of bioinformatics, bioengineering as well as related fields.

The topics include but will not be limited to:

  • Deep learning and biomedical applications
  • Identification of biomarkers
  • Development of medical apparatuses
  • Bioinformatics analyses and practices
  • Wavelet transform methods and / or signal classification
  • Machine learning algorithms
  • Computational medicine
  • Feature extraction and / or image processing in biomedical settings
  • Sequence analyses, genome assembly and data analysis
  • Multichannel EGG signals for detection of disorders
  • ECG signal processing and applications
  • Biomedical signal processing
  • Wavelet transform framework, theories and applications
  • Multiwavelet transform methods
  • Decomposition methods
  • Automated classification with different wavelet methods
  • Computational intelligence-based decision-making processes
  • Fuzzy-based methods for prognostic decision-making in diseases
  • Convolutional neural networks for segmentation
  • EMG signal classification
  • Bioinformatics approaches
  • Bioinformatic analyses of next generation sequencing data
  • Sequencing and analysis of genomes ·
  • Advanced bioinformatics with large language models
  • Advanced applications in bioinformatics and / or chemistry