Gene Expression: Introduction and Data Analysis

Related lectures (30)

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On Single-cell Temporal-Omics explores inferring transcriptional dynamics from snapshot data and interpreting RNA velocity in RNA metabolism.

Explores how gene regulatory networks encode changes in cell development and the importance of interactions between different regulatory networks.

Explores the Allen Institute Mouse Brain data collection and development processes.

Explores genome accuracy, gene duplication, and the impact of repetitive DNA sequences on genetic diversity.

Covers transgenic mice using Cre-lines and optogenetics, exploring neural cell manipulation techniques and brain region-specific gene expression.

Explores protein synthesis, genetic code, transcription, translation, and recombinant protein expression using vectors and plasmids.

Delves into gene regulatory networks, ChIP-seq techniques, ENCODE project data interpretation, and differential gene expression modeling.

Offers a tutorial on interpreting gene expression heat maps from the Allen Institute.

Introduces the Anatomic Gene Expression Atlas (AGEA) for exploring gene expression patterns in the mouse brain.

Explores regulatory variation's impact on precision medicine, focusing on non-coding GWAS SNPs and gene expression variation.