Services

Services


We are open to collaborate and provide support to those who may lack the in-house expertise required to tackle complex genetic and data-driven challenges.

Explore the services below, and feel free to reach out with any requests — whether within or beyond the scope of what’s listed.



Service Categories


Category Services
’Omics Data Analysis
  • Processing and analysis of NGS and multi-omics data, including:
      • DNA-seq
      • RNA-seq
      • scRNA-seq
      • ChIP-seq, and more.
Data Integration & Mining
  • Integration of biomedical datasets.
  • Advanced data mining techniques for complex data insights.
Statistical & AI Modeling
  • Machine learning and AI applications for data analysis.
  • Development of statistical models for:
      • Genomic
      • Clinical
      • Environmental data
Evolutionary Biology
  • Metagenomics to study microbial communities and their functions.
  • Phylogenetics to analyse evolutionary relationships.
  • Population genetics for diversity and evolutionary studies.
Software & IT Solutions
  • Custom pipeline and software development.
  • Database solutions for managing large-scale datasets.
  • Cloud-based bioinformatics tools for scalable analysis.
Training and Education
  • Workshops on bioinformatics and data analysis techniques.
  • Training in advanced computational tools and methodologies.


Service Descriptions

Omics Data Analysis

We provide comprehensive omics analysis services, including:

  • NGS Data Processing: End-to-end workflows for RNA-seq, ChIP-seq, whole-genome resequencing, and targeted sequencing, including preprocessing, alignment, and variant calling.
  • Single-Cell Sequencing: scRNA-seq and scATAC-seq analysis to uncover cellular heterogeneity, identify trajectories, and explore gene expression profiles.
  • Multi-Omics Integration: Combine genomics, transcriptomics, proteomics, and metabolomics data to create a unified biological model.
  • Microarray Analysis: Interpret data from gene expression, SNP arrays, DNA methylation, and copy number variation (arrayCGH).
Data Integration & Mining

Our services are designed to unlock insights from complex datasets:

  • Biomedical Data Integration: Combine diverse datasets to reveal hidden patterns, causal relationships, or associations.
  • Advanced Data Mining: Develop customised methods to extract actionable insights from large, multidimensional datasets.
  • Causal Inference: Identify relationships between measured variables for predictive or diagnostic purposes.
Statistical & AI Modeling

We leverage advanced statistical and AI methods to support data-driven research:

  • Statistical Modeling: Hypothesis testing, regression analysis, multivariate modeling, and survival analysis tailored to biological data.
  • AI and Machine Learning Models: Custom-built models for classification, clustering, genomic predictions, and high-dimensional data analysis.
  • Deep Learning: Apply neural networks to genomic sequence analysis, feature extraction, and other complex challenges.
Evolutionary Biology

We specialise in evolutionary studies and microbial ecology:

  • Metagenomics: Analyse microbial communities and their functional roles in ecosystems.
  • Phylogenetics: Reconstruct evolutionary histories and relationships using molecular data.
  • Population Genetics: Investigate genetic diversity, gene flow, and evolutionary pressures within populations.
Software & IT Solutions

Our IT services are tailored to meet specific research and operational needs:

  • Pipeline Development: Design and implement scalable pipelines (Nextflow, WDL, Docker, Singularity) for data processing and analysis.
  • Custom Software: Develop bioinformatics tools and applications using Python, R, and other technologies.
  • Database Solutions: Create and manage relational and non-relational databases for large-scale biomedical data.
  • Cloud-Based Infrastructure: Deploy solutions for scalable and efficient data analysis workflows.
Training and Education

We offer hands-on training and educational workshops for researchers and professionals:

  • Genomics and Transcriptomics: Learn RNA-seq and ChIP-seq data analysis, including preprocessing and pathway analysis.
  • Single-Cell Sequencing: Explore scRNA-seq and scATAC-seq data processing, clustering, and trajectory inference.
  • Machine Learning and AI: Build models for genomic data analysis, including feature selection, clustering, and deep learning.
  • Data Visualisation: Master tools like R (ggplot2) and Python for insightful visualisations.
  • Pipeline Development: Hands-on sessions for creating automated workflows using scripting and programming languages.
General Services

We are also happy to support you in:

  • Grant Writing Assistance: Craft effective grant proposals with a focus on bioinformatics research methodologies.
  • Healthcare Treatment: Analyse patient data for precision medicine and personalised treatment strategies.



Service Tracks


Pricing is provided as a general guide and may vary depending on who you’re working with or the nature of the collaboration — though for most in academia, it will typically depend on funding and grant arrangements.


Track Description Pricing
Track 1 Routine analysis for NGS, single-cell sequencing, and microarray data. Quoted by sample numbers
Track 2 Custom engineering work, including pipelines, multi-omics integration, and AI models. Flat-rate quote
Track 3 Exploratory, hypothesis-driven research requiring iterative testing and strategy adjustments. Hourly rate quote



Alternative Solutions


Any of the listed services above are available from anyone in the Adelaide bioinformatics community, including us, but there are a few organisations that offer additional services such as sequencing (DNA, RNA, ChIP-seq) and related technologies as well as bioinformatics support options, including:



If you’re looking for help beyond what’s listed here, feel free to reach out so we can assist you.