Biomedical Data Analysis Workshops
Expert bioinformatics workshops on biomedical data analysis that combine discussion of topics relevant to the modern biomedical community, such as precision medicine, with exposure to technical methods such as RNA-seq, variant calling, machine learning and integration of multi-omics data. The workshops are available for participants of all levels, including those that do not have coding experience. During the workshops, expert bioinformaticians will be providing advice and hands-on assistance with challenges in bioinformatics workflows and datasets
Big Biomedical Data Processing, Analysis and Integration Workshops
Biomedical datasets are often rich with potential for knowledge discovery. Learn about the various forms and qualities of ‘omics data, how it can be properly analyzed to gain biologically meaningful insight, and how these insights can be leveraged to benefit drug discovery, diagnostics, and treatment
The bioinformatics workshops are developed by the researchers at the Tauber Bioinformatics Research Center at University of Haifa, Israel in collaboration with academic centers across the US. Technical support for the workshops is provided by the Pine Biotech team.
Participants must have a laptop/desktop computer with internet access. Spreadsheet analysis software is used for simple analyses of pipeline results in most of the exercises. A working version of Excel or other spreadsheet analysis software is necessary to follow these examples. Most of the analysis steps will be done using the t-bio.info platform. No coding or statistics background is required to participate in the workshop, however basic cell biology and biostatistics will be beneficial. In preparation for the workshop, everyone is encouraged to complete the online course material available at edu.t-bio.info.
Workshop participants will receive a certificate of participation from the Tauber Bioinformatics Research Center and Pine Biotech. In some cases, the certificate will be recognized by other partner institutions.
Participants will have hands-on experience with omics data, including transcriptomic and genomic Next Generation Sequencing data. For each workshop, we set a number of specific goals and open the discussion to address real-life challenges faced by participants with their own data or workflows for critical review.
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