Mcb 182 Lecture 9.13 - Scrna-Seq Applications

MCB 182 Lecture 9.13 - scRNA-seq applications (trajectory inference, visualization)

MCB 182 Lecture 9.9 - scRNA-seq technologies

MCB 182 Lecture 9.8 - Analysis goals of scRNA-seq

MCB 182 Lecture 9.7 - Introduction to single cell RNA sequencing (scRNA-seq)

MCB 182 Lecture 9.11 - More on scRNA-seq dropout noise

MCB 182 Lecture 9.10 - scRNA-seq experimental design, dropout noise

MCB 182 Lecture 9.12 - Introduction to PCA (scRNA-seq)

MCB 182 Lecture 9.3 - RNA-seq read mapping strategies

MCB 182 Lecture 9.4 - RNA-seq quantification

MCB 182 Lecture 1.1 - Review - Genome content

MCB 182 Lecture 9.1 - Introduction to RNA-seq, motivation

MCB 182 Lecture 9.2 - Bulk RNA-seq fundamentals

MCB 182 Lecture 10.8 - Choosing 3C assay, genome assembly with Hi-C

MCB 182 Lecture 7.2 - ChIP-seq

MCB 182 Lecture 9.5 - RNA-seq differential gene expression, batch effects

MCB 182 Lecture 2.2 - Sanger sequencing

MCB 182 Lecture 4.5 - CRISPR-Cas9 practical considerations, applications

MCB 182 Lecture 3.4 - Genome assembly - Scaffolding contigs

(2022) MCB 182 Lecture 0 - Review of Genes and Genomes

MCB 182 Lecture 8.7 - ChIP-seq QC metrics