Genome Innovation Hub

Collaborative projects

The Genome Innovation Hub collaborates with UQ researchers to enable the broad use of structural and functional genomics pipelines.

Read more about our innovative collaborative projects below.

Single-cell (and FACS-based) sequencing.   Spatial -omics.  CRISPR & gene editing technologies.   Metagenomics. 

 Whole genome assembly, browsers and repositories.   Epigenetics and Epigenomics.   Transcriptomics.    Long read sequencing. 

 Genomics-related proteomics.

 

Single-cell (and FACS-based) sequencing

Single-cell transcriptome profiling in plants
Co-transcriptomic single-cell sequencing
Temporal transcriptomics
Simultaneous RNA-chromatin interactions in single cells
Genome-wide CRISPR screen
RNA velocity quantification of single-cell transcriptomics
Expanding the scope of multimodal single cell sequencing
scSplit tool
Division based single-cell sequencing

Spatial -omics

Spatial transcriptomics in whole tissues
Automated in-situ quantitative gene expresson
Developing new "spatial-omics" capabilities
Long read spatial transcriptomics
Developing a next generation single-cell transcriptomic tool

CRISPR, gene editing and gene silencing technologies

Genome-wide CRISPR screen
Precise genome editing
OmniCRISPR
Bioinformatics pipeline for whole-genome CRISPR screening
Dual guide RNA screen
High-throughput single-cell CRISPR in functional genomics discovery
Genome landing pads for cattle
Analysis of siRNAs for topical RNAi applications
Bacterial CRISPRi
Improving CRISPR workflows in plants
Guide RNA design in non-model organisms

Metagenomics

Hologenome sequencing
Culture-independent metagenomic diagnostics
Metagenomic sequencing of low biomass samples
Proximity ligation sequencing of mixed bacterial communities

Whole genome assembly, browsers and repositories

Assembly of a complex genome using single-molecule sequencing
Genome-Phaser: phasing whole genome variants using haplotagging
TraDIS-Vault
Genome browser and interactive repository for large and complex multi-omic datasets

Epigenetics and epigenomics

Enabling population scale epigenomics
Epitranscriptome mapping by direct native RNA sequencing

Genomics-related proteomics

Transposon sequencing for protein interactions
Precise genome editing
Developing new "spatial-omics" capabilities
High-throughput sequencing of protein variant libraries

Long read sequencing

Long-read sequencing of telomeres
Long-read transcriptomics in bacteria
PCR-free sequencing
Assessing DNA Replication Dynamics in Cancer
Culture-independent metagenomic diagnosis
Hologenome sequencing
Epitranscriptome mapping by direct native RNA sequencing
Multi contact Pore-C
Nanopore sequencing of DNA from extracellular vesicles
Cas9 targeted enrichment for Nanopore sequencing

Transcriptomics

Quantitative transcriptome analysis (CAGE)
Discovery of new networks with long read transcriptomics
Co-transcriptomic single-cell sequencing
Single-cell transcriptome profiling in plants
Temporal transcriptomics
RNA velocity quantification of single-cell transcriptomics
Spatial transcriptomics in whole tissues
Automated in-situ quantitative gene expression
Ribosomal profiling with cellular specificity