The main points discussed in Bioinformatics and Biomedicine deals with Artificial intelligence, Data mining, Computational biology, Pattern recognition and Machine learning. Artificial intelligence, which encompasses Feature extraction, Deep learning, Support vector machine, Artificial neural network and Convolutional neural network, is the main subject of Bioinformatics and Biomedicine. It links adjacent topics like Data mining with Cluster analysis.
In the event, Genetics, Gene, Bioinformatics, Molecular biophysics and Genomics are investigated in conjunction with one another to address concerns in Computational biology research. The event centers on topics in Gene, with a focus on Gene expression. Bioinformatics and Biomedicine features research on Genomics in an attempt to reinforce studies in the field of Genome.
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Keywords
1. Bioinformatics and Computational Biology of Molecular StructureFunction and Evolution
1.a. EvolutionPhylogenyComparative Genomics
1.b. Protein/RNA StructureFunction and Interactions
1.c. 3D genome
2. Computational Systems Biology
2.a. Pathway Analysis
2.b. Biological Network Analysis
2.c. Interactomics
2.d. Gene Expression and Regulation
2.e. Post-translational Modifications
2.f. Alternative Splicing
2.g. Non-coding RNA Analysis
3. Next Generation Sequencing and High-throughput Methods
3.a. Next-Gen Sequencing
3.b. Microarray Data Analysis
3.c. SNPs and Haplotype AnalysisGWASPersonalized Genomics
3.d. Transcriptomics
3.e. Metabolomics
3.f. Proteomics
3.g. Epigenomics
4. Cheminformatics and pharmacogenomics
4.a. Cheminformatics and Computer-Aided Drug Design
4.b. Molecular Docking
4.c. Molecular Modeling
4.d. Pharmacogenomics
5. Cross-Cutting Computational Methods and Bioinformatics of Disease
5.a. Data MiningMachine Learningand Artificial Intelligence
5.b. Big Data Analytics
5.c. High Performance Computing
5.d. Information RetrievalOntologiesNatural Language Processingand Text Mining
5.e. Data Visualization
5.f. Computational Modeling and Data Integration
5.g. Precision Medicine
5.h. Genome-Phenome Analysis
5.i. Biomarker Discovery
5.j. Pathogen bioinformatics
6. Biomedical and Health Informatics
6.a. Data MiningMachine Learningand Artificial Intelligence
6.b. Big Data Analytics
6.c. Information RetrievalOntologiesNatural Language Processingand Text Mining
6.d. Biomedical Image Analysis
6.e. Biomedical Signal Analysis
6.f. Healthcare Knowledge Representation & Reasoning
6.g. Data Visualization
6.h. Data Interoperability and Health Information Exchange
6.i. Human-computer Interaction and Human Factors
6.j. Clinical and Health Information Systems
6.k. Consumer Informatics and Personal Health Records
6.l. Electronic Medical/Health Records and Standards
6.m. Mobile Health
6.n. Clinical Decision Support