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RNA Data Analysis Made Simple - 31 January 2020

Please note that this event has passed.


The Genomics Centre is pleased to host a free, seminar with Partek. 

Please register here: https://www.partek.com/training/kingscollege_1-31-20

RNA-Seq Data Analysis

10:00 a.m. - 10:50 a.m.

• Welcome and introduction to Core Facility (Han Lu, KCL)

• Introduction to Partek Flow and RNA-Seq data analysis (IvanLukic, Partek)

• Streamlined import of RNA-Seq data from any sequencingtechnology

• Automated data processing by building and sharing analysispipelines

• Alignment to any reference genome using commonly availablealignment tools• Fusion gene detection

• Aligned read mapping to public or custom transcriptomedatabases

• Powerful statistics and interactive visualizations (t-SNE, PCA,multiple clustering options – visualizations can be saved aspublication-quality images)

• Differentially expressed gene identification• Biological insight discovery with GO and pathway enrichmentanalysis

• Interactive discussion with Q&A

Single Cell Data Analysis

11:10 a.m. - 12:00 p.m.

• Streamlined import and analysis of Single Cell data from any technology and platform, including mass and flow cytometry

• Identification of cell populations – known cell types and novelcell sub-types

• Differential gene expression analysis in multiple samples

• Labeling of cells with expression values of multiple genes

• Visualization of pathway expression differences between cellpopulations

• Identification of group biomarkers in cell clusters and populations

• Powerful statistics and interactive visualizations (PCA, 2Dand 3D t-SNE, 2D and 3D UMAP, scatter plots, hierarchicalclustering, and violin plots)

• Feature barcoding data analysis (CITE-Seq, etc.) and multiomics data integration, including CRISPR

• Demultiplexing of cell hashing data

• Trajectory analysis

• Batch effect correction

• Spatial transcriptomics

• Interactive discussion with Q&A

 


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