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.

Bioinformatics as a Service (BaaS)

Ongoing access to a dedicated bioinformatics team, without the overhead of hiring full-time staff.

Plan	Best For	What’s Included	Pricing
Core Plan	Grant-funded labs, small biotechs, early-stage R&D	• Up to 15 support hours/month • 1 priority project • Monthly check-in • Slack/email support	$2,800/month
Growth Plan	Active labs with diverse workflows, scaling biotech teams	• Up to 30 hours/month • 2 strategy calls/month	$5,500/month
Enterprise Plan	Diagnostics, scale-ups, consortia, or ongoing clinical genomics	• 45+ hours/month • Dedicated lead analyst • Weekly check-ins, priority delivery	$8,500/month

Interested in finding out more? Send us a message or check out the subscriptions page.

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Sequencing Solutions

For Individuals

We offer whole genome kits for individuals, who want to explore their own DNA. Our kits provide access to trusted lab partners, with all data stored securely and under your control. Kits are available through consultation only, not for general sale.

Type	Details	Pricing
Genome Kit	Whole genome sequencing (WGS) through a trusted research-grade lab	$500 (flat fee)
Consulting & Analysis	Interpretation, reporting, and follow-up billed based on your needs	$200/hour

Please note: Genome kits are not sold on their own. All kits must be paired with a consulting package to ensure responsible use and meaningful interpretation of your data.

For Researchers

For academic, clinical, or industry research projects, there are a few organisations such as the South Australian Genomics Centre (SAGC) and the Australian Genome Research Facility (AGRF) that offer a range of high-quality sequencing technologies, including:

Whole genome and exome sequencing
RNA-seq and transcriptomics.
ChIP-seq and other epigenomic assays.
Targeted sequencing panels.
Genotyping and methylation profiling

Data Archiving & Long-Term Storage

Many researchers lack reliable, affordable solutions for long-term data storage. This service provides a secure, easy-to-use portal for managing all types of research data storage — from deep archival options (AWS Glacier/Google Cloud Archive Storage) to active bucket storage for real-time analysis.

Fully integrated with the Doppeldata genome platform, it allows users to seamlessly transfer files between storage tiers and analysis environments, making it simple to retrieve archived data for re-analysis, sharing, or downstream processing.

Includes

Setup and management of AWS/GCP cold storage vaults
Simple web dashboard for data uploads and archive tracking
Integrated with the Doppeldata genome platform for effortless retrieval and analysis of stored data (archived or active)
Long-term storage at a fraction of university or commercial rates
Transparent pricing for storage and retrieval
Optional automation for upload, verification, and deletion policies

Pricing Model

One-time setup fee (based on data size)
Annual storage fee (~$24/TB/year)
Retrieval costs billed at AWS/GCP egress rates

Future Scope

Portal-based subscription platform integrating user accounts, upload dashboards (e.g., Shiny or React front end), and automated billing - enabling scalable archiving for genomics and bioinformatics research groups.

If you’re looking for help beyond what’s listed here, feel free to reach out so we can assist you. Or check out our current subscription plans and product pricing for more options.