Properties (52)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Field of study
|
| gptkbp:analyzes |
DNA sequences
|
| gptkbp:appliesTo |
Genomics
|
| gptkbp:contributedTo |
Disease research
|
| gptkbp:focusesOn |
Genomic data analysis
|
| gptkbp:hasPrograms |
Biology
Computer science Mathematics Statistics |
| https://www.w3.org/2000/01/rdf-schema#label |
Genomic Data Science
|
| gptkbp:includes |
Machine learning
|
| gptkbp:involves |
Data mining
Statistical analysis Data visualization Data integration |
| gptkbp:isAvenueFor |
Forensic science
Pharmaceutical development Agricultural genomics |
| gptkbp:isChallengedBy |
Ethical considerations
Data privacy issues Data quality concerns Interpretation of results |
| gptkbp:isEnhancedBy |
Artificial intelligence
Interdisciplinary teams Collaborative research |
| gptkbp:isEvaluatedBy |
Collaborative projects
Peer-reviewed publications Impact metrics Grant_funding |
| gptkbp:isFundedBy |
Global health initiatives
Advancements in technology Increased data availability Emerging research areas |
| gptkbp:isInfluencedBy |
Genetic engineering
Synthetic biology Systems biology Population genetics |
| gptkbp:isPromotedBy |
Government agencies
Research institutions Non-profit organizations Industry partnerships |
| gptkbp:isSupportedBy |
Cloud computing
Big data technologies High-throughput sequencing |
| gptkbp:isUsedIn |
Personalized medicine
|
| gptkbp:requires |
Bioinformatics tools
|
| gptkbp:supports |
Genetic epidemiology
|
| gptkbp:utilizes |
Computational methods
|
| gptkbp:wasEducatedAt |
Conferences
Online courses Workshops Academic programs |