Methods to Identify Transcriptomic Types

Related lectures (30)

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Explains transcriptomics, RNA-seq workflow, and gene expression analysis for disease biomarkers.

Covers combining electrical, morphological, and molecular profiles to study single neurons.

Explores single-cell RNA-seq, tissue dissociation, capture methods, and differential gene expression analysis.

Covers the data available from the Allen human brain atlases, including gene expression analysis and the BrainSpan Atlas.

Covers the BrainSpan Atlas, mapping gene expression in the developing human brain.

Covers the tutorial on performing a search in the Allen Brain Atlas, exploring gene expression data.

Covers gene expression, protein life cycle, and genetic code in neuroscience.

Explores ribosome profiling techniques, chemical applications, and translational insights in gene-specific features and behavioral responses.

Covers gene expression measurement techniques and analysis methods in genomics.

Covers the process of single cell RNA-sequencing and clustering data.