The Genomics Facility at Monash University Malaysia is equipped with a total of 14 Linux workstations (some up to 32 CPUs, 128 Gb RAM) to process the large amount of NGS data generated from various projects. In addition, the facility also has access into the High Performance Computing (HPC) Research Infrastructure and is collaborating closely with the team to help staff in familiarizing the system. Moreover, with affiliations to Monash University Australia, we are also granted access to the MonARCH (Monash Advanced Research Computing Hybrid), a next-generation HPC/HTC Cluster that can offer more than 1000 CPU cores to support Monash research communities. These resources provide us with the capabilities to handle a variety of projects ranging from small single gene analysis to large genome assemblies.
For bioinformatics support and collaboration, please contact Dr Gavin or email firstname.lastname@example.org
What we do
We have developed in-house bioinformatics tools that are freely available.
MitoPhAST: an automated tool that (1) identifies annotated protein-coding gene features and generates a standardised, concatenated and partitioned amino acid alignment directly from complete/partial GenBank/EMBL-format mitogenome flat files, (2) generates a maximum likelihood phylogenetic tree using optimised protein models and (3) reports various mitochondrial genes and sequence information in a table format. MitoPhAST is available for download at: https://github.com/mht85/MitoPhAST
Since the start of the Genomics Facility in 2013, we have undertaken a variety of projects which require different sets of skills and programs.
Below are some examples of the programs we use, switching between Windows OS and also Linux OS
Sequence read QC
Genome assembly and annotation
Transcriptomics and RNA-seq analysis
Mitogenome assembly and annotation
Microsatellite detection and primer design
Giving back to Monash
In addition to providing bioinformatics services, we truly believe in empowering the students and staff of Monash University Malaysia with the skills and knowledge required to conduct various NGS analysis for their own projects. To do so, an additional Linux workstation (16 CPUs, 64 Gb RAM) with a licensed CLC Genomics Workbench software has been set up for shared use (please contact us for more information on getting access to the workstation). We have also successfully conducted several NGS workshops with more to come. In the mean time, we welcome students and staff alike to drop by the office with any questions and queries regarding NGS, its applications and analysis.