Oxford Omicline | Bioinformatics & Omics Consultancy

About Oxford Omicline

Oxford Omicline is a specialist bioinformatics consultancy dedicated to transforming complex biological datasets into actionable scientific insight. We collaborate with universities, research institutes, biotechnology organisations, and clinical partners to deliver high-quality computational analysis grounded in methodological transparency and international research standards.

Our Services

Pathogen Genomics, WGS & Genomic Epidemiology

End-to-end whole-genome sequencing analysis for bacterial, viral, and fungal pathogens, including quality control, genome assembly, variant detection, antimicrobial resistance profiling, phylogenetic reconstruction, strain comparison, and transmission analysis to support research, surveillance, and outbreak investigation.

Single-Cell RNA-seq Analysis

Comprehensive workflows including QC, clustering, annotation, differential expression, and pathway enrichment.

Spatial Transcriptomics

Spatially resolved gene expression analysis to understand tissue architecture and cellular interactions.

Bulk RNA-seq & Differential Expression

Reproducible RNA-seq pipelines delivering publication-ready outputs.

Multi-Omics Integration

Cross-platform integration across genomics, transcriptomics, proteomics, and metabolomics.

Reproducible Workflows

Version-controlled pipelines aligned with journal and funder standards.

Biological Interpretation

Statistically robust interpretation supported by publication-quality visualisation.

Professional Training & Courses

Introduction to Bioinformatics

A foundational programme covering core bioinformatics principles, sequence analysis, databases, and essential computational tools. Designed for researchers transitioning into computational biology.

Bioinformatics Specialization

An advanced multi-module training programme focused on genomics, transcriptomics, data analysis workflows, and reproducible research practices for academic and industry scientists.

Applied Bioinformatics

Hands-on practical training using real-world biological datasets. Participants develop skills in RNA-seq analysis, pathway enrichment, statistical modelling, and data interpretation.

Bioinformatics Methods for Transcriptomics

Specialised course focused on bulk RNA-seq, single-cell RNA-seq, spatial transcriptomics, and differential expression workflows aligned with publication standards.

Why Work With Oxford Omicline

High-Quality Results

Every project is delivered with rigorous QC, detailed documentation, and versions controlled pipelines ensuring reproducibility and scientific integrity.

Transparent & Traceable Workflow

Clear communication of methods, full report of analytical decisions, parameters, and software version for clarity, auditability, and long-term reproducibility.

Multi-Platform Support

Experience across Illumina, ONT, and PacBio sequencing technologies.

Data Security

Secure computing environments with strict access controls.

Industry-Leading Expertise

Expert bioinformaticians supported by a strong scientific network.

Fast Turnaround

Optimized pipelines delivering results efficiently.

Frequently Asked Questions

What types of organisations do you work with?

We collaborate with universities, research institutes, biotechnology companies, clinical research groups, and translational science teams. Our services are tailored to both academic research and industry-driven projects.

Do you provide confidentiality agreements (NDAs)?

Yes. We routinely operate under Non-Disclosure Agreements and institutional confidentiality frameworks to ensure data security, intellectual property protection, and compliance with regulatory standards.

What is the typical turnaround time for analysis?

Project timelines depend on dataset size and analytical complexity. Standard RNA-seq analyses are typically delivered within 2–4 weeks, with clearly defined milestones and reporting schedules.

Do you support manuscript preparation and publication?

Yes. We provide publication-ready figures, reproducible workflows, and detailed methodological documentation suitable for high-impact peer-reviewed journals.

Which sequencing platforms and data types do you support?

We support data generated from Illumina, 10x Genomics, Nanopore, and other major platforms, covering bulk RNA-seq, single-cell RNA-seq, spatial transcriptomics, and multi-omics datasets.

How are training courses delivered?

Our training programmes are delivered online, on-site, or in hybrid formats. We also provide customised workshops for research groups and corporate teams.

Leadership & Scientific Team

Dr Muhammad Waqas Ali - CEO & Founder

Muhammad is a molecular biologist and bioinformatician with a PhD from the University of Birmingham. His research background spans molecular biology, genomics, and data-driven biological discovery. He founded Oxford Omicline to bridge rigorous computational analysis with clear biological interpretation, supporting high-impact research and translational science.

Dr Friederike Flack - Omics Scientist

Friederike joined Oxford Omicline in 2025 as a Scientist. She graduated from the University of Copenhagen and specialises in multi-omics data analysis. She has extensive experience in integrative omics workflows and statistical analysis, supporting data interpretation across diverse biological systems.

Dr Shahida Rafique - Microbial Bioinformatics Lead

Before joining Oxford Omicline, Shahida was a Research Fellow at University College London (UCL) and a specialist in microbial bioinformatics with expertise in WGS, RNA sequencing, metabolomics, and genomic epidemiology. She leads the reproducible analysis of high-throughput sequencing data, transforming complex datasets into reliable, decision-ready insights for research and public-health applications.

James Johnston - Training Lead

James is a training specialist with a degree from the University of Michigan. He leads Oxford Omicline’s training programmes, focusing on accessible, hands-on bioinformatics education for students and researchers at all levels.

Turning Complex Omics Data into Clear Biological Insight