MHTP-Medical-Genomics-Logomhtp membersmonash health logo monohudson logo monomonash uni logo mono

MHTP Website Banners 3

Bioinformatics Resources

 In addition to the bioinformatics support on-site, some software licenses are also hosted by the Facility and available for shared access including:


GeneSpring provides powerful, accessible statistical tools for intuitive data analysis and visualisation. Designed specifically for the needs of biologists, GeneSpring offers an interactive environment that promotes investigation and enables understanding of microarray analysis.


RealTime StatMiner enables a fast, easy and reliable analysis of RT-qPCR data. It combines commonly used interactive visualisations with advanced statistics to offer rapid, reliable analysis, allowing researchers to organise their samples based on technical and biological replicates, as well as rapidly create publication-ready reports.

GeneGO Metacore

This software suite enables the functional analysis (such as pathway enrichment) of Next Generation Sequencing, variant, CNV, microarray, metabolic, SAGE, proteomics, siRNA, microRNA, and screening data.
MetaCoreTM is based on a high-quality, manually curated database of:

  • Transcription factors, receptors, ligands, kinases, drugs, and endogenous metabolites as well as other molecular classes.
  • Species-specific directional interactions between protein-protein, protein-DNA and protein-RNA, drug targeting, and bioactive molecules and their effects.
  • Signalling and metabolic pathways represented on maps and networks.
  • Rich ontologies for diseases and processes with hierarchical and graphical output.

The software can be accessed via a workstation in the MHTP Bioinformatics office. To book a session please contact our Bioinformatician at This email address is being protected from spambots. You need JavaScript enabled to view it..

Other analysis resources:


Provides a web interface to many text manipulation utilities, enabling researchers to do their own custom reformatting, transformation and analysis of Next Generation Sequencing datasets through a relatively simple user interface.