What are Some Key Computational Tools Used in Cancer Research?
Several computational tools are pivotal in cancer research:
Next-Generation Sequencing (NGS) Analysis Tools: These tools process and analyze sequencing data to identify genetic mutations, gene expression levels, and other genomic features. Bioinformatics Databases: Databases like TCGA (The Cancer Genome Atlas) and COSMIC (Catalogue of Somatic Mutations in Cancer) provide valuable genomic data for research. Machine Learning Algorithms: These algorithms are used to predict cancer progression, treatment responses, and to discover new drug targets. Molecular Dynamics Simulations: These simulations help in understanding the structural dynamics of cancer-related proteins and their interactions with drugs. Clinical Decision Support Systems: These systems use computational methods to assist clinicians in making informed treatment decisions based on patient data.
