Data Mining in Genomics and Bioinformatics
There has been a great explosion of genomic data in recent years. This is due to the advances in various high-throughput biotechnologies such as RNA gene expression microarrays. These large genomic data sets are information-rich and often contain much more information than the researchers who generated the data may have anticipated. Such an enormous data volume enables new types of analyses, but also makes it difficult to answer research questions using traditional methods. Analysis of these massive genomic data has several unprecedented challenges
Related Conference of Data Mining in Genomics and Bioinformatics
Data Mining in Genomics and Bioinformatics Conference Speakers
Recommended Sessions
- Applications of Genomics & Bioinformatics
- Bioinformatics
- Bioinformatics Work Flow Management Systems
- Computational Biology
- Data Mining in Genomics and Bioinformatics
- Drug Design & Development
- Epigenomics
- Evolutionary Biology
- Functional Genomics
- Genomics
- Immunomics
- Metabolomics
- Molecular Modelling
- Next Generation Sequencing
- Oncogenomics
- Pathogenomics
- Pharmacogenomics
- Phylogenetics
- Proteomics
- Structural Bioinformatics
- Structural Genomics
Related Journals
Are you interested in
- Advanced Biofuels and Sustainable Fuel Technologies - Biodiesel 2027 (France)
- Algae-Based Biofuels and Marine Bioenergy - Biodiesel 2027 (France)
- Biogas, Biomethane and Anaerobic Digestion - Biodiesel 2027 (France)
- Biohydrogen and Hydrogen Production from Biomass - Biodiesel 2027 (France)
- Biomass Conversion and Bioenergy Technologies - Biodiesel 2027 (France)
- Biorefineries and Integrated Biomass Processing - Biodiesel 2027 (France)
- Lignocellulosic Biomass and Cellulosic Biofuels - Biodiesel 2027 (France)
- Pyrolysis, Gasification and Hydrothermal Conversion - Biodiesel 2027 (France)
- Sustainable Aviation Fuels and Renewable Transportation - Biodiesel 2027 (France)
- Sustainable Biomass Feedstocks and Supply Chains - Biodiesel 2027 (France)

