Several approaches and tools are employed for genomic data integration:
Bioinformatics Platforms: Tools like GATK, Bioconductor, and Galaxy facilitate the processing and analysis of genomic data. Data Repositories: Public databases such as The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) provide integrated genomic data for research. Machine Learning: Advanced algorithms and AI models are increasingly used to predict outcomes and identify patterns in integrated genomic data.
