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Learn to analyze cancer data with BioinformaticsDotCA, focusing on ICGC Data Portal Demo and Pathway and Network Analysis. 1-2 hours workload.
Learn to visualize HT-seq data, call and annotate small-variants, and perform De Novo Assembly with BioinformaticsDotCA. Requires 3-4 hours.
Learn cancer genomics and bioinformatics with BioinformaticsDotCA. Explore data visualization, genome rearrangements, pathway analysis, and RNA-seq analysis in 15 hours.
Learn to analyze Flow Cytometry data using R with BioinformaticsDotCA. Master FCM data exploration, processing, quality assurance, and clustering in just 6 hours.
Learn about cancer genomics, somatic mutations, and clinical data integration in a 7-hour program from BioinformaticsDotCA.
Learn metabolomics and its applications with BioinformaticsDotCA. Understand metabolite identification, data analysis, and future trends in a 9-hour program.
Learn cancer genomics and bioinformatics in a 14-hour program by BioinformaticsDotCA, covering somatic mutations, gene expression profiling, and data visualization.
Learn about clinical genomics and biomarker discovery in a 2-3 hour program from BioinformaticsDotCA, focusing on survival analysis and personalized medicine.
Learn to interpret gene lists from omics studies with BioinformaticsDotCA. Master pathway and network analysis in just 3-4 hours.
Learn about biomarkers, clinical variables, and personalized medicine in a 5-hour program from BioinformaticsDotCA. Gain skills in integrating clinical and genomic data.
Learn to interpret gene lists from omics studies with BioinformaticsDotCA. Master over-represented gene functions, pathway and network analysis in 4-5 hours.
BioinformaticsDotCA offers a 14-hour workshop on cancer analysis, covering topics from data visualization to multi-omic data integration.
Learn R programming basics with BioinformaticsDotCA in a 10-hour workshop, covering scripts, t-tests, loops, functions, linear models, and R Markdown lab.
Learn pathway and network analysis of gene lists with BioinformaticsDotCA. Master network visualization, in-depth analysis, and gene function prediction in 5 hours.
BioinformaticsDotCA offers a 7-hour workshop on machine learning, covering topics like decision trees, neural networks, and hidden Markov models with practical labs.
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