Session 1 - Introduction to Bioinformatics
1:22:40
YouTubeOmicsLogic
Session 1 - Introduction to Bioinformatics
In this session, we will have an overview of analytical and theoretical resources for the program: T-BioInfo: an intuitive and user-friendly interface for analysis of big data: NGS genomics and transcriptomics, mass-spectroscopy proteomics & metabolomics, structural biology, integration & machine learning, analysis of phenotypic & visual ...
50.3K viewsOct 13, 2020
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1. Bioinformatics / Computational Biology Analyze large biological datasets such as sequencing and genomics data, build computational pipelines, and help interpret results for drug discovery and research teams. This role is often remote because the work is fully computer based and data driven. 2. Data Science / Biostatistics Work with clinical trial data, build statistical models, analyze safety and efficacy outcomes, and support decision making in drug development. These positions are frequentl
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1. Bioinformatics / Computational Biology Analyze large biological
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