Scientific and computational expertise organised around research outcomes.

Our services combine biotechnology, sequencing coordination, biological context, analytical rigour and reproducible computational workflows across connected scientific capability areas.

Sequencing Services

End-to-end sequencing coordination through selected specialist laboratory partners, with AfroBiomics providing one scientific point of contact from project planning through analysis and interpretation.

Managed Sequencing

Sequencing coordinated through selected specialist laboratory partners, with one AfroBiomics contact supporting project planning, sample requirements, quality review, bioinformatics analysis and interpretation.

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Genomics & Sequence Analysis

Sequence quality assessment, genome reconstruction, annotation, comparative genomics, phylogenomics and targeted sequence interpretation.

Genome Assembly, Quality Assessment & Annotation

End-to-end computational processing of genomic sequence data, including read assessment, assembly evaluation, annotation and reproducible reporting.

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Comparative Genomics & Phylogenomics

Comparative analysis of genomes to characterise relatedness, population structure, genomic variation, gene content and evolutionary context.

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Sanger Sequence Analysis

Quality assessment, curation, consensus generation, identification, variant evaluation and scientific interpretation of Sanger chromatogram data.

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Transcriptomics & Multi-Omics

Analysis of transcriptomic, proteomic and metabolomic data, including integration across molecular layers for biological interpretation and candidate discovery.

Bulk RNA-seq Analysis

Reproducible analysis of bulk RNA-sequencing data to quantify expression, identify differential patterns and interpret biological pathways.

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Single-Cell & Spatial Transcriptomics Analysis

Computational processing and interpretation of single-cell and spatial expression data to characterise cell states and tissue organisation.

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Proteomics & Metabolomics Analysis

Statistical and biological analysis of processed proteomic and metabolomic datasets to identify molecular patterns, pathways and study-group differences.

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