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
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