Precision medicine is changing the way we understand, diagnose and treat cancer. The transformation is driven by high-throughput molecular data from patients, animal models, and large-scale experiments. In this program, we will explore how the various -omics data types can be analyzed to understand the basic biology associated with cancer onset, development, and outcomes and see how large-scale clinical trials and experiments provide an opportunity to improve precision oncology. More about the program and the schedule is found here: https://edu.t-bio.info/bioinformatics-training-precision-oncology/
Cancer biology challenges (organs, tissues, cells) Molecular factors in tumor development, growth and metastasis Clinical and Molecular Data (phenotype-genotype relationship) Associated online course/resource: https://www.ncbi.nlm.nih.gov/books/NBK20362/
From Hypothesis Testing to Data Mining Statistics and Algorithms T-BioInfo Platform and relevant analysis methods Associated online course/resource: Introduction to Bioinformatics
Processing (germline and somatic mutations) Analysis (mapping, detecting variants) Interpretation (significant and insignificant mutations, etc.) Associated online course/resource: Transcriptomics 1
NCBI (cell lines, animal models) TCGA (patient cohorts) NCI, COSMIC (databases of mutations and interactions
Scientific Inquiry and Translational Value Example 1: Breast Cancer – classification of subtypes (cell lines) Example 2: Liver Cancer – risks and molecular factors...