See what an analysis can deliver

What each example includes

Every sample analysis is written up against the same structure, so you can see how an engagement is scoped, run, and reported.

Research question

The biological question the analysis was set up to address.

Inputs

Data type, sample count, groups, and platform where relevant.

Methods and software

The approach, key tools, and parameters actually used.

Quality checks

The checks performed before results were interpreted.

Main result

A supported finding, stated without overclaiming.

Limitations

The important caveats that affect interpretation.

• Demonstration

  Workflow

  Bioinformatics analysis workflow

  A schematic overview of a typical analysis pipeline, from raw data and quality control through to figures and a written interpretation.

• Demonstration

  Genomics

  Phylogenetic analysis (whole-genome)

  Whole-genome phylogeny showing relationships among sequenced isolates, with the alignment, model, and support values reported alongside the tree.

• Demonstration

  Microbiome

  Microbiome / metagenomics analysis

  Community composition and diversity summaries from metagenomic data, with group comparisons tested rather than read off a plot.

• Demonstration

  Structural bioinformatics

  Molecular docking & structure analysis

  A docking and protein-ligand interaction example. Poses and scores are computational estimates and do not by themselves prove binding.

• Demonstration

  Gene expression

  Gene expression (qPCR) analysis

  Relative expression across experimental groups, showing the comparison, reference genes, and the assumptions behind the calculation.

• Demonstration

  Statistics & figures

  Statistical analysis & visualisation

  Statistical testing paired with publication-style figures, presented with the method used and the limits of what the data can support.

Every figure is illustrative. For a real project, the exact deliverables are agreed in writing before work starts.