Computational Methodologies
Computational Biology is a rapidly emerging field, at the interface of computer science, arithmetic, physics and biology to study, analyze and understand complex biological systems by taking a corresponding integrated systems view using computational methodologies. Computational systems biology provides a point of merging for genomics, proteomics, metabolomics and computational modeling and plays a key role in the fast progression of the evolving field by the outstanding developments in biology and computer science.
- Machine learning and pattern recognition
- Knowledge discovery and data mining techniques
- Bioinformatics and cheminformatics
- Sequence motifs and alignments
- Hidden markov model
- Sequencing algorithms
Related Conference of Computational Methodologies
Computational Methodologies Conference Speakers
Recommended Sessions
- Case Reports
- Cancer Metabolomics
- Computational Methodologies
- Edibilomics
- Enzyme Nanotechnology
- Epigenomics and Epigenetics
- Lipidomics
- Mass Spectrometry based Metabolomics
- Metabolomics
- Metabolomics in Precision Medicine
- Microbial Metabolism
- Molecular Medicine and Diagnostics
- Next-generation sequencing
- Pharmacogenomics
- Proteomics
- Recent Advancements in Metabolomics
Related Journals
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- Membrane Protein Structure and Dynamics - Structural Biology 2026 (Spain)
- Nuclear Magnetic Resonance (NMR) Spectroscopy - Structural Biology 2026 (Spain)
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- Protein Structure and Function - Structural Biology 2026 (Spain)
- Structural Basis of Genetic and Metabolic Disorders - Structural Biology 2026 (Spain)
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- Structural Genomics and Proteomics - Structural Biology 2026 (Spain)
- Structural Immunology - Structural Biology 2026 (Spain)
- Virus Structure and Host Interactions - Structural Biology 2026 (Spain)
- X-ray Crystallography and Diffraction Methods - Structural Biology 2026 (Spain)

