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If you have any questions, please refer to the University's data classification guide or contact ict.askcyber@sydney.edu.au

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RNAseq Analysis

  • Bulk (mRNA, Total RNA, short RNA, Capture), Single Cell

  • Design, QC, mapping, normalising, analysis, graphics

  • “Bespoke” data-wrangling/ dataviz / workflows

  • Functional annotation (pathway, gene set, external dataset)

  • Custom organism/transgene mapping and analysis

  • Integration with other data (chIP-seq, WGS, PCR etc)

Sample Composition

Deconvolution Analysis

Differential Expression

Pathway Analysis

Interactions

Time Course Analysis

xCell


edgeR

ClusterProfiler


DREM

scRNAseq Specific Analysis

tSNE/UMAP Viz

Supervised/Unsupervised

Clustering

Pseudotime

Cell-cell interactions

UMAP Paper

Cluster Tree

Monocle

CellphoneDB


Other Analysis Services

  • Cytometry: Clustering, differential abundance and differential state analysis using CATALYST and custom scripts

  • T-cell repertoire analysis (MIXCR, VDJtools, TCR and Immunarch packages, cross-referencing with vdjDB, clone tracking)

  • Single Cell CRISPR screen fitness testing

  • Proteomics data integration and comparison

  • Preparation and analysis of online data (SRA/GEO)

Contact us if there is something missing here that you would like to do.

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