2023 3rd International Conference on Bioinformatics and Intelligent Computing (BIC 2023)

BIC 2023 Call for paper


Algorithms, models, software, and tools in Bioinformatics

Any novel approaches to bioinformatics problems

Applications to diagnosis, prognosis, treatment, monitoring and rehabilitation

Biological devices/Biosensors and Molecular Diagnostics

Computational proteomics

DNA and RNA structure, function and sequence analysis

Experimental methods for model validation

Gene engineering and protein engineering

Gene regulation, expression, identification and network

Genomics and Proteomics

Imaging, instrumentation and sensors for model generation and identification

Immuno- and Chemo-Informatics

Multiscale modelling and integrative research

Next Generation Sequencing

Pharmaceutical Applications

Probabilistic and optimization methods in bioengineering

Protein interactions, docking and function

Protein structure, function and sequence analysis

Sequence Analysis

Structural Bioinformatics

Structural, functional and comparative genomics

Structure Prediction

Synthetic biology

Intelligent Computing

designing and building hardware & software systems processing,structuring 

managing various kinds of information

scientific research 

making computer systems behave intelligently

creating and using communications & entertainment media 

Bioinformatics & Intelligent Computing

Algorithms and Software Tools

Algorithms, models, software, and tools in Bioinformatics

Biostatistics and Stochastic Models

Computational evolutionary biology

Computational Intelligence

Computational Molecular Systems

Computational Neuroscience

Data acquisition, normalization, analysis and visualization

Data management and modelling tools

Data Mining and Machine Learning

Databases and Data Management

Drug design and computer aided diagnosis

Emerging numerical methods and computational tools

Formal Verification of Biological Systems

Gene regulation, expression, identification and network

High-performance computational systems biology and parallel implementations

Image Analysis

Inference from high-throughput experimental data

Information Technology applications to computational bioengineering

Model Design and Evaluation

Model integration from biological databases

Multi-scale modelling and analysis methods

Pattern Recognition, Clustering and Classification

Simulation and Modeling

Subject-specific and population-based modelling methods

Systems Biology



Web Services in Bioinformatics