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
August 22-23, 2022
4th International Conference on Metabolomics, Genomics and Proteomics
Tokyo, Japan
August 22-23, 2022
15th International Conference on Proteomics, Genomics & Bioinformatics
Singapore City, Singapore
September 12-13, 2022
23rd Global Summit on Analytical and Bioanalytical Techniques
Prague, Czech Republic
September 22-23, 2022
7th International Conference on Biochemistry and Glyco Science
Dublin, Ireland
October 10-11, 2022
7th International Conference on Glycobiology, Lipids & Metabolic Disorders
Vancouver, Canada
October 20-21, 2022
9th International Congress on Biodiversity Conservation and Ecosystem Management
Bali, Indonesia
November 21-22, 2022
7th International Conference on Bioscience and Biotechnology
Singapore City, Singapore
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
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