Classify Your Proposal for TBI

We welcome submissions across the spectrum of topics related to the storage, management, analysis, retrieval, and visualization of large molecular data sets in the context of human health and disease. In contrast to previous years, there are no pre-defined tracks. Authors are asked to designate keywords for their proposals via the online submission form.

These keywords will be used to match proposals to reviewers and to help organize the papers, abstracts and panels that are accepted for the program into groups or tracks. While we recognize no classification scheme is perfect, you will be asked to choose terms that best characterize your proposal. Specific topics of interest include, but are not limited to:

Keywords:

1. Analysis Pipelines, Workflows, and Data Provenance
2. Data Querying and Visualization
3. Data Repositories
4. Data Standards, Terminologies, and Ontologies
5. Drug Discovery and Repurposing
6. Epigenomics
7. Ethical, Legal, and Social Issues Around Big Biological Data
8. Experimental Data Metadata and Annotation
9. Genetic/genomic decision support
10. Genome-environment interactions
11. Genomics and Transcriptomics
12. Integrative Omic Analysis
13. Metabolomics
14. Metagenomics
15. Molecular Biomarkers
16. Natural Language Processing and Free Text Data Mining
17. Next-Generation Sequencing
18. Omic data in EHRs
19. Personalized, Genomic, Stratified, Precision, Individualized, P4 Medicine
20. Pharmacogenomics
21. Proteomics
22. Systems Biology and Network Analysis
23. Systems Medicine
24. Training in Translational Bioinformatics