Custom Bioinformatics Pipelines

From raw data
to reproducible
results.

We design and build end-to-end computational pipelines for genomics, proteomics, and metabolomics research, tailored to your organism, your instrument, and your question.

raw reads QC / trim alignment variant calling annotation + filtering statistical modeling deliverable report + reproducible code Every pipeline ships with full documentation, containerized environments, and test cases.
What we build
01

Genomics and Variant Analysis

WGS, WES, RNA-seq, and amplicon workflows. From FASTQ to annotated VCF or differential expression results, tuned for your reference genome and variant class of interest.

02

Proteomics and Mass Spec

Label-free quantification, TMT, and DIA workflows. Database search, protein inference, and downstream pathway analysis. Built on open standards with full audit trails.

03

Custom and Integrative

Multi-omics integration, metabolomics, structural biology, and bespoke tooling. If it involves biological data and computation, we can scope and build it.

Nextflow Snakemake Docker / Singularity R / Bioconductor Python GATK DESeq2 MaxQuant HPC / cloud-ready

How an engagement works

We scope every project collaboratively. You bring the biological question and the data; we bring the computational architecture, documentation, and delivery. Pipelines are yours to own, run, and modify.

Discovery

30-minute call to understand your data types, compute environment, downstream needs, and timeline.

Specification

We produce a written pipeline spec with tool choices, expected outputs, and validation criteria for your sign-off.

Build and Test

Iterative development with checkpoint reviews. Test datasets used throughout; your data introduced only after validation.

Delivery

Documented pipeline, containerized environment, results report, and a walkthrough session. Maintenance available.