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ABOUT DATACORE ANALYTICS
Analysis Capacity Built
In Africa, For Africa
DataCore Analytics is a bioinformatics, biostatistics and data science consultancy registered in Kenya and operating remotely across the continent.
We provide analysis, consultation, training and remote support to universities, research institutions, national reference laboratories, public health institutes, clinical trial units, biotechnology companies and non-governmental organisations. Our consultants work across genomics, transcriptomics, epigenomics, microbiome research, pathogen surveillance, epidemiology, clinical trials and machine learning.
We are an analysis-only organisation. We do not operate a wet laboratory and we do not handle physical samples. Data reaches us as sequence reads, matrices, variant files or study datasets, and leaves as interpreted results, publication-ready figures and reproducible code. That independence means our advice on study design carries no incentive to sell you sequencing you do not need, and we work equally well with data from any platform or provider.
Why We Exist
The capacity gap
Sequencing capacity across Africa expanded sharply during the COVID-19 response. Platforms were installed in national reference laboratories, universities and research institutes on a scale the continent had not seen before. Analysis capacity did not expand at the same rate.
The result is a structural bottleneck. Institutions generate genomic, epidemiological and clinical data faster than they can interpret it, and a large share of African research data is still analysed outside the continent — at high cost, on long turnaround, and with the analytical expertise accumulating somewhere else.
DataCore Analytics exists to close that gap, and to make sure the skills stay where the data is generated.
Why analysis by African teams matters scientifically
African populations carry more genetic diversity than the rest of the world combined, and are the most under-represented in the reference panels, annotation databases and training datasets that standard pipelines depend on. A pipeline tuned on European cohorts systematically misclassifies variants in African samples. A clinical prediction model trained on North American data frequently fails when deployed on an African population.
These are not abstract concerns. They change which variants get called, which associations reach significance and which models are safe to use. Analysts who work with African data every day build that awareness into the work by default.
How We Work
The commitments below are written into every project agreement.
Analysis Only, Platform Neutral
We do not sell sequencing. We work with data from any provider or instrument, and our study design advice has no commercial bias attached to it.
A Named Analyst Per Project
One consultant owns your project from scoping to handover, with a second reviewing. You are not routed through a ticket queue.
Written Plan Before Any Work
You approve a written analysis plan — methods, software, deliverables, timeline and fixed quote — before analysis begins.
Reproducible By Default
Every deliverable ships with code, pinned software versions, reference genome versions and documentation. Your team can rerun it without us.
Confidential By Contract
Access is restricted and logged, storage is encrypted, and we never reuse client data for other projects or model training without written permission.
Capacity Building Included
Every partnership includes training for your own staff and students. We would rather teach your team the analysis than sell it to them twice.
Our Values
Eight commitments that shape how we scope work, what we refuse, and what we tell clients when the news is bad.
Scientific honesty
We report what the data supports and no more. If a study is underpowered, confounded or compromised, we say so during the work — not after the invoice. A result that will not survive review is worth nothing to the client and less than nothing to us.
Reproducible by default
Every deliverable ships with code, pinned software versions and documentation. If a reviewer asks you to rerun the analysis two years from now, you can. Work that only one person can reproduce is not finished work.
Capacity stays here
We would rather teach a team to run the analysis than sell them the same analysis twice. Every partnership includes training. Working ourselves out of a contract is a success, not a loss.
Confidentiality without exception
Client data is never shared between projects, never reused for method development, and never used to train models without written permission. Access is named, scoped and logged. This is not negotiable at any price.
Context is not optional
African populations are the most genetically diverse and the least represented in reference databases. A pipeline tuned elsewhere quietly gets the wrong answer here. Knowing that, and correcting for it, is the work.
Clarity over jargon
The report is written for the person who asked the research question, not for another bioinformatician. If a client cannot explain their own results afterwards, we have not finished the job.
Someone owns it
One named analyst per project, reachable in your working hours, answering within a working day. Not a ticket queue, not a rotating pool, not silence for three weeks followed by a PDF.
Revenue, unapologetically
We are a company, not a grant. Charging properly is what lets us pay African analysts competitively, fund the scholarship programme, and still be here in five years. Sustainability is a precondition for the mission, not a distraction from it.
Who We Serve
Our services are used by research and public health organisations across the continent, from single-investigator projects through to national surveillance programmes.
Governance and Standards
Registration
DataCore Analytics is registered in Kenya and operates as a distributed organisation, with consultants working remotely from several African countries. Contracting, invoicing and data agreements are handled centrally.
Data governance
No data is accepted without a written agreement covering scope, storage location, retention period, access, authorship and intellectual property. Where a project involves human subjects we ask to see the relevant ethical approval, and any applicable material or data transfer agreement, before work begins. Full detail is set out in our privacy and data handling policy.
Scientific standards
We report what the data supports and no more. If an analysis is underpowered, confounded or compromised by data quality, we say so in the report rather than presenting a result that will not survive peer review. Analyses that were run and did not work are documented alongside those that did.
Research use only
Our services are provided for research purposes. They are not intended for clinical diagnosis, treatment decisions or individual health assessment.
