Gene Expression: Introduction and Data Analysis

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Related lectures (30)

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

Bulk Transcriptome Analysis: RNA-seq Workflow and Gene Expression Analysis MOOC: Neuroscience Reconstructed: Genetics and Brain Development

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

Data available from the Allen human brain atlases

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

Genomics: Gene Regulatory Networks

Explores gene regulatory networks, protein-DNA interactions, and regulatory elements in genomics.

The Molecules of Life: Nucleic Acids

Covers the structure and functions of nucleic acids, including genetic information storage and gene expression.

Single cell RNA-sequencing: Methods and Data Analysis

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

Regulation Mechanisms Overview

Covers phosphorylation, ubiquitinylation, methylation, and more in biological regulation.

DNA Structure and Gene Expression

Explores DNA structure, gene expression, RNA transcription, and protein manufacturing in cells, including the crucial role of RNA polymerase.

Single-cell and Spatially Resolved RNA-seq MOOC: Neuroscience Reconstructed: Genetics and Brain Development

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

MRNA: Transcriptional Regulation and Stability

Covers transcriptional regulation and mRNA stability, including chromatin accessibility and post-transcriptional processes.

DNA Structure and Transcription

Explores DNA structure, replication, transcription, mRNA translation, and gene expression regulation.

Compartmental modeling: Fundamentals and Applications MOOC: Fundamentals of Biomedical Imaging: Ultrasounds, X-ray, positron emission tomography (PET) and applications

Explores compartmental modeling in biomedical imaging, emphasizing the importance of understanding linear systems and intracellular glucose metabolism measurement.

Single-cell Temporal-Omics: Inference of Transcriptional Dynamics

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

Gene Regulatory Networks MOOC: Neuroscience Reconstructed: Genetics and Brain Development

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

The Allen Institute Mouse Brain Data MOOC: Neuroscience Reconstructed: Genetics and Brain Development

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

Genome Duplication and Gene Families

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

Protein Synthesis: Recombinant Expression

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

Gene Regulatory Networks

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

How to Interpret Gene Expression Heat Maps

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

Using AGEA in the Allen Mouse Brain Atlas

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

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