2  Preface and Overview

Published

May 2026

3 Preface and Overview

3.1 CDI Omics Systems

CDI Omics Systems is an evolving ecosystem of structured omics workflows designed to connect:

  • raw biological data
  • analytical processing
  • statistical reasoning
  • interpretation
  • reproducible reporting

The focus is not only on running tools, but on building complete analytical systems that support transparent and defensible biological insight.


4 An Evolving Omics Ecosystem

CDI Omics Systems is designed as a modular and continuously expanding ecosystem of reproducible analytical systems.

Each build represents a connected workflow architecture focused on:

  • reproducibility
  • workflow transparency
  • interpretation-first analysis
  • systems-oriented biological reasoning

Some builds are actively expanding as the ecosystem evolves.


5 Systems Over Outputs

Many workflows stop at generating outputs.

CDI Omics Systems emphasizes:

Data
→ Processing
→ Exploration
→ Statistical analysis
→ Interpretation
→ Reporting

Each build is designed to function as a connected system rather than an isolated tutorial.


6 Omics System Builds

6.1 Build 01 · RNA-seq System

End-to-end transcriptomics workflows integrating:

  • FastQC
  • MultiQC
  • Salmon / STAR
  • featureCounts
  • DESeq2
  • exploration and visualization
  • Quarto reporting

6.2 Status

Active flagship build.

6.3 Live Build

rnaseq.complexdatainsights.com


6.4 Build 02 · Microbiome System

Structured microbiome analysis systems integrating:

  • denoising
  • taxonomy assignment
  • ecological analysis
  • diversity analysis
  • interpretation workflows

6.5 Status

Active build.

6.6 Live Build

microbiome.complexdatainsights.com


6.7 Build 03 · GWAS System

Genome-wide association workflows integrating:

  • genotype quality control
  • population structure
  • association testing
  • variant interpretation

6.8 Status

Active build.

6.9 Live Build

gwas.complexdatainsights.com


6.10 Build 04 · Single-cell RNA-seq System

Single-cell systems integrating:

  • normalization
  • clustering
  • dimensional reduction
  • annotation
  • cellular interpretation

6.11 Status

Active build.

6.12 Live Build

singlecell.complexdatainsights.com


6.13 Build 05 · Multi-omics Integration System

Integrated systems connecting:

  • transcriptomics
  • microbiome
  • clinical metadata
  • statistical modeling
  • interpretation layers

6.14 Status

Expanding build.

6.15 Live Build

multiomics.complexdatainsights.com


7 Workflow Philosophy

CDI Omics Systems emphasizes:

  • reproducibility
  • interpretation-first analysis
  • workflow transparency
  • modular systems architecture
  • defensible analytical reasoning

The ecosystem is intentionally designed to evolve progressively as individual builds expand.


8 Technology Ecosystem

Depending on the build, workflows may integrate:

  • R
  • Python
  • Bioconductor
  • Quarto
  • Plotly
  • QIIME2
  • Scanpy
  • GitHub Pages
  • reproducible environments

9 CDI

Complex Data Insights (CDI)

Systems over outputs.