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01GENOMICS
Genomics & Variant Analysis
Exploring genomic variation, genetic mutations and molecular signatures to understand biological systems and disease mechanisms.
WGSVariant callingBCFtoolsGATK
Research domain↗
Research & Discovery
Exploring biology throughcomputation.
We bring together bioinformatics, computational biology and artificial intelligence to explore complex biological questions and make scientific data more meaningful.
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BIOXFLOW
SCIENCE × COMPUTATION
Genomics
AI / ML
Bioinformatics
Our research vision
Connecting biological questions with computational solutions.
Modern biological research generates enormous volumes of data. Turning these datasets into reliable scientific insight requires robust analytical methods, reproducible workflows and a strong understanding of biology.
Bioxflow aims to bring these elements together through computational research, open-source tools and collaborative scientific development. Our research interests span genomics, infectious disease, molecular biology and emerging AI-driven approaches.
Research domains
Areas we are exploring.
Our research interests combine established bioinformatics methods with emerging computational approaches to investigate biological systems at different scales.
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02TRANSCRIPTOMICS
Transcriptomics & Gene Expression
Investigating gene expression patterns, regulatory networks and molecular pathways using bulk and single-cell transcriptomic data.
RNA-seqDESeq2SeuratScanpy
Research domain↗
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03ANTIMICROBIAL RESISTANCE
AMR & Microbial Genomics
Studying antimicrobial resistance, virulence determinants and microbial evolution through genomic and computational approaches.
WGSAMRFinderPlusABRicateML
Research domain↗
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04SINGLE-CELL BIOLOGY
Single-Cell Genomics
Understanding cellular heterogeneity, cell populations and biological states through high-resolution single-cell analysis.
scRNA-seqScanpySeuratCell clustering
Research domain↗
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05COMPUTATIONAL DRUG DISCOVERY
Molecular Modelling & Drug Discovery
Applying computational approaches to investigate protein–ligand interactions, molecular properties and potential therapeutic candidates.
Molecular dockingMolecular dynamics3D-QSARDesmond
Research domain↗
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06ARTIFICIAL INTELLIGENCE
AI & Machine Learning in Biology
Developing data-driven approaches for biological prediction, classification, biomarker discovery and interpretation of complex datasets.
PythonRRandom ForestDeep Learning
Research domain↗
From data to discovery
Building a bridge between data and biology.
We are interested in developing analytical strategies that transform raw biological data into interpretable results. From sequencing reads to molecular networks, each stage of analysis should be transparent, reliable and reproducible.
Explore our pipeline concepts →Computational workflowCONCEPT
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Biological data
FASTQ · FASTA · Expression matrices
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Quality control & processing
Quality assessment · Filtering · Alignment
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Computational analysis
Statistics · Genomics · Machine learning
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Biological interpretation
Visualisation · Reporting · Discovery
How we approach science
Research built on strong foundations.
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Reproducibility first
Transparent workflows, version-controlled code and documented analytical decisions.
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Open science
Encouraging accessible methods, shared resources and collaboration across disciplines.
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Biology-driven computation
Using computational methods to address meaningful biological and biomedical questions.
Knowledge & resources
Making research more accessible.
We aim to support the scientific community through accessible computational resources, transparent research methods and educational material.
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Open-source tools
Reusable computational workflows, scripts and analytical resources.
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Research publications
A space to share scientific outputs, methods and research insights as they become available.
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Public datasets
Exploring publicly available biological datasets for reproducible research.
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Scientific education
Learning resources to make bioinformatics and computational biology more approachable.
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Let's work together
Better science begins with collaboration.
Are you a researcher, student, developer or computational biologist? We welcome conversations around scientific ideas, open-source development and collaborative research.