Recent studies

Links to recent studies supported by our sequencing services

KCCG’s nanopore sequencing service exists to support cutting-edge research projects in Australia and beyond. We are proud to say that our service contributed to the following studies published recently.


Genomics & epigenetics

Nanopore Sequencing Enables Comprehensive Transposable Element Epigenomic Profiling. Molecular Cell (2020).

Canfam_GSD: De novo chromosome-length genome assembly of the German Shepherd Dog (Canis lupus familiaris) using a combination of long reads, optical mapping, and Hi-C. Gigascience (2020).

A universal and independent synthetic DNA ladder for the quantitative measurement of genomic features. Nature Communications (2020).

Chiral DNA sequences as commutable controls for clinical genomics. Nature Communications (2019).


Transcriptomics & RNA modifications

Accurate detection of m6A RNA modifications in native RNA sequences. Nature Communications (2019).

High-throughput targeted long-read single cell sequencing reveals the clonal and transcriptional landscape of lymphocytes. Nature Communications (2019).

Targeted, high-resolution RNA sequencing of non-coding genomic regions associated with neuropsychiatric functions. Frontiers in Genetics (2019).


Microbe, pathogen and metagenomics

Analytical validity of nanopore sequencing for rapid SARS-CoV-2 genome analysis. Nature Communications (2020).

Single molecule, near full-length genome sequencing of dengue virus. Scientific Reports (2020)

Unexpected host dependency of Antarctic Nanohaloarchaeota. PNAS (2019).

Synthetic microbe communities provide internal reference standards for metagenome sequencing and analysis. Nature Communications (2018).



Genopo: a nanopore sequencing analysis toolkit for portable Android devices. Communications Biology (2020)

GPU accelerated adaptive banded event alignment for rapid comparative nanopore signal analysis. BMC Bioinformatics (2020).

Featherweight long read alignment using partitioned reference indexes. Scientific Reports (2019).

SquiggleKit: a toolkit for manipulating nanopore signal data. Bioinformatics (2019).