Lectures related to How to Interpret Gene Expression Heat Maps

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.

Performing a search in the Allen Brain Atlas

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

Transgenic Mice: Cre-Lines and Optogenetics

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

BrainSpan Atlas of Developing Human Brain

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

The difficulty of dissociating cells in human brain

Discusses the diversity of neocortical neurons, challenges in dissociating human brain cells, and the evolution of expanded neocortex across mammals.

Using AGEA in the Allen Mouse Brain Atlas

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

Overview of the Allen Mouse Brain Atlas

Covers the Allen Mouse Brain Atlas, brain regions, gene expression data, and exploration tools.

Early Brain Regionalization

Explores the early regionalization of the brain and the importance of gene expression and anatomical atlases for studying brain development.

Bulk Transcriptome Analysis: RNA-seq Workflow and Gene Expression Analysis

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

Protein Life Cycle

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

Approaches and Rationale of Simulation Neuroscience

Explores the overview, rationale, and strategies of simulation neuroscience, emphasizing the challenges of reconstructing and simulating the brain.

Gene Expression: Introduction and Data Analysis

Covers gene expression data quantification, genome analysis, and large-scale studies.

Combining profiles: Electrical, Morphological, Molecular

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

Methods to Identify Transcriptomic Types

Covers methods to identify transcriptomic types and classify bipolar cells using computational techniques and molecular profiling.

Data-Driven Modeling in Neuroscience: Meenakshi Khosla

By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.

RNA Switches: Design & Applications

Explores the design and applications of RNA switches, focusing on regulatory RNA principles and engineered biomolecular components.

Single-cell and Spatially Resolved RNA-seq

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

The Allen Institute Mouse Brain Data

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

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.

The Molecules of Life: Nucleic Acids

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