News

Advances in DNA sequencing have reduced the difficulty of sequencing and assembling plant genomes. A range of methods for long read sequencing and assembly have been recently compared and we now extend the earlier study and report a comparison with more recent methods.

In a worlds first, the Genome Innovation Hub and colleagues completed the de novo assembly of the genome of the Australiian wild Macadamia, Macadamia jansenii. By benchmarking different methods for long read sequencing, this publication is a useful, up-to-date comparison of costs and software options for assembly and polishing.

Spatially resolved transcriptome profiles of mammalian kidneys illustrate the molecular complexity of functional nephron segments, cell-to-cell interactions and genetic variants

Spatial analysis of ligand-receptor interactions in skin cancer at genome-wide and single-cell resolution

This project established the availability of CAGE through development of an optimized, cost -efficient in-house protocol, benchmarked against a commercially available ‘gold standard’ kit.

stLearn: integrating spatial location, tissue morphology and gene expression to find cell types, cell-cell interactions and spatial trajectories within undissociated tissues

This webinar will present a comparison of three long read sequencing technologies applied to the de novo assembly of a plant genome, Macadamia jansenii.
GIH Collaborative Project.
Hosted by Australian BioCommons.

Thursday, July 2, 2020, 12:00 PM 1:00 PM

In this webinar, Professor Lachlan Coin will talk about his recent study with the Genome Innovation Hub at The University of Queensland for de novo assembly of the genome of Australia’s vulnerable plant species, Macadamia jansenii. In this study several long read sequencing technologies, including MGI’s unique single-tube Long Fragment Read (stLFR), are compared for the same sample.
GIH Collaborative Project.
Hosted by MGI

A new tool for visualising TraDIS (Transposon Directed Insertion Site Sequencing ) data. Search for your gene of interest via our new web browser developed with Professor Ian Henderson at the Institute of Biomolecular Sciences (IMB), Dr Dom Gorse at the Queensland Facility for Advanced Bioinformatics (QFAB Bioinformatics) in collaboration with the Genome Innovation Hub (GIH) at the University of Queensland.

SpaCell: integrating tissue morphology and spatial gene expression to predict disease cells

Genome Biology, Open Access

stLearn is designed to comprehensively analyse Spatial Transcriptomics (ST) data to investigate complex biological processes within an undissociated tissue.

A new method for demultiplexing pooled scRNA-seq data, which does not require a sample genotype, but uses genetic differences learnt from the data. Developed at The University of Queensland's Genome Innovation Hub (GIH) by Jon Xu with Professor Lachlan Coin (The University of Melbourne, Doherty Institute) and colleagues.