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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.
Learn about cancer genomics, data ethics, genome assembly, and big data analysis in the cloud with BioinformaticsDotCA's 19-hour program.
Learn the basics of R programming with BioinformaticsDotCA in a 12-hour online program, divided into seven engaging sessions.
BioinformaticsDotCA offers a 13-hour introduction to high-throughput data, RNA-seq data, and pathway/network analysis, with integrated tutorials on popular bioinformatics packages.
Learn bioinformatics in microbiome research and big data analytics with BioinformaticsDotCA's summer program. Explore metagenomics, biomarkers, machine learning, and more in a 9-hour workload.
Learn metabolomics technologies, data analysis, pathway databases usage, and statistical methods in a 9-hour workshop by BioinformaticsDotCA.
Learn key bioinformatics concepts and tools for cancer genomic data analysis with BioinformaticsDotCA. Material includes mapping, gene expression, and data integration.
Explore cancer genomics with BioinformaticsDotCA in a 9-hour study, covering mapping, genome rearrangement, gene fusion, and more.
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.
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