01 / Data
Many modalities…one statistical treatment
The assays themselves determine how features are counted, but once the data are tallied, it is largely the same analytical problem — protein, spatial, RNA, and DNA simply reduce to a feature-by-sample matrix. This is how a bioinformatician can cover so much of this range by themselves. Our team has decades of experience across the vast breadth of what bioinformatics means, from tool building where needed, to tool using where available, to the final biological interpretation.
- RNA
- Whole cell or nuclei, across conditions.
- Small RNA
- Short non-coding species from the same libraries.
- Repertoire
- T-cell receptor sequencing.
- Single-cell and single-nuclei RNA
- Whole cell or nuclei, resolved per cell.
- Paired multiome
- RNA and ATAC from the same nuclei.
- Visium and Visium HD
- Whole transcriptome captured on barcoded slides.
- Xenium
- In-situ hybridization, imaged. A targeted panel at single-cell resolution.
- Atera
- 10x's newer in-situ platform at whole transcriptome scale.
- Chromatin
- Bulk ATAC and single-nuclei ATAC.
- Genomes
- Exome, whole genome, targeted panels, structural rearrangement.
- Populations
- Genome-wide SNPs, microsatellites, population structure.
- Microbial communities
- Metagenomics, microbiome and antimicrobial resistome.
- Proteomics
- Differential abundance, normalization, and analysis
- Metabolomics
- The same mass spectroscopy framework over a different feature space.
- Design and power
- What a study can detect, decided before it runs rather than defended afterwards.
- Modeling
- Mixed models, repeated measures, and the choice of replication unit — often what decides whether a result survives review.
Multi-omic integration via AI
Several platforms on one cohort, analyzed together through AI incorporation.
02 / Systems
Bioinformatics does not care what the organism is
Every organism below is named in the combined bibliography of our members — 126 species across 26 taxonomic classes and all four domains of life, from human trauma patients to hot-spring archaea. The first publication was a logistic regression for zoo neonate management in 1995, and the range has widened every year since.
03 / Fields
27 fields of study, and counting
Biomedical
- Trauma and transfusion medicine
- Oncology, adult and paediatric
- Cardiology
- Craniofacial development
- Immunology
- Diabetes and metabolism
- Ophthalmology
- Nephrology
- Neuroscience and ageing
- Dermatology
- Rheumatology
- Haematology
- Reproductive medicine
- Obesity and exercise physiology
- Virology
- Infectious disease
- Toxicology
Environmental and agricultural
- Conservation genetics
- Wildlife management
- Fisheries and aquaculture
- Soil and microbial ecology
- Food safety
- Antimicrobial resistance
- Plant science
- Entomology
- Herpetology
- Ornithology