Covers proteomics techniques and their applications in neuroscience, focusing on mass spectrometry and the challenges of studying proteins in cellular functions.
Covers protein mass spectrometry, proteomics fundamentals, ionization sources, analyzers, detectors, mass accuracy, resolution, and various ionization methods.
Covers the analysis of post-translational modifications using mass spectrometry, focusing on techniques, challenges, and the significance of phosphoproteomics.
Covers the heterogeneous neuroscience data, techniques like microarrays and gene sequencing, data integration, and the importance of metadata in organizing and sharing data.
Explores tools and models for Next-Generation Sequencing data analysis, covering DNA sequencing technologies, data analysis pipelines, and statistical models.
