Architecting an Integrated Multi-Omics Strategy for Regulatory Genomics
How CD Genomics translated a preliminary sequencing request into a coordinated, execution-ready multi-omics project.
Planned Image 01Research consultation and multi-omics project planning
Project Overview
A research team approached CD Genomics with a preliminary long-read sequencing proposal intended to support genome assembly, structural characterization, and downstream regulatory studies. We recognized that treating it as a stand-alone sequencing order could produce fragmented datasets that would be difficult to integrate.
After evaluating genomic complexity, target assembly metrics, available scaffolding data, and input DNA constraints, we converted the initial concept into a coordinated workflow integrating high-fidelity long-read sequencing, chromosome-level Hi-C scaffolding, and parallel ATAC-seq/RNA-seq profiling.
The Multi-Omics Paradigm
De novo genome assembly coupled with ATAC-seq and RNA-seq represents the gold standard for decoding the genotype-to-phenotype axis. By mapping chromatin accessibility and transcriptomic data directly to a custom, high-quality de novo reference, researchers eliminate the mapping biases associated with using divergent reference genomes, enabling highly precise multi-layer regulatory analysis.
Privacy Note: To preserve client confidentiality, this case study focuses strictly on solution architecture, bioinformatics logic, and project governance. All identifying metadata and biological findings have been fully anonymized.
From Research Goals to an Executable Strategy
The Client’s Goal
Generate a reference-grade genome assembly
Build a reference-grade assembly capable of supporting structural variant analysis and downstream regulatory and transcriptomic integration.
Our Expert Role
Translate objectives into technical pathways
We assessed feasibility, benchmarked sequencing platforms, defined the computational scope, and mapped the dependencies between assays.
The Outcome
An executable, integrated research blueprint
An integrated project blueprint with defined workflow specifications, QC gateways, and data-handoff requirements before sample processing.
Consultation in Practice
Key Questions Resolved Before Project Execution
Before finalizing the workflow, our bioinformatics and sequencing specialists worked with the client to align biological goals, wet-lab constraints, and computational requirements:
Which sequencing platform and read-depth best satisfy the target contiguity and downstream analytical requirements?
How do we ensure multi-omics datasets (ATAC/RNA) map harmoniously to the newly assembled reference without batch or reference bias?
Which analytical modules fit within our standardized pipelines, and where is custom bioinformatics algorithm development required?
What are the prerequisite data metrics and QC thresholds required to trigger subsequent assay modules?
At which computational milestones must the client review intermediate outputs to approve downstream workstreams?
How We Designed the Project: A Five-Stage Process
We translated the client’s biological objectives into a defined, data-connected multi-omics architecture.
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Stage 1
Elucidating Core Biological Objectives
The Challenge
The client needed an assembly supporting high-resolution SV detection and serving as a reliable anchor for chromatin and transcriptomic profiling.
Our Approach
Before discussing sequencing platforms, we defined the “success criteria.” We established target contiguity metrics, assessed the need for haplotype phasing, and mapped out exactly how the ATAC and RNA data would consume the final genome assembly.
The Deliverable: A clearly defined set of functional requirements for the genome assembly prior to technical route selection.
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Stage 2
Evaluating & Upgrading the Sequencing Proposal
The Challenge
Validating whether the client’s initial long-read concept could deliver the required resolution.
Our Approach
We evaluated technical bottlenecks: highly homologous genomic segments, repeat-rich regions, and the trade-off between read length and base accuracy. We recommended upgrading to high-accuracy long-read sequencing (HiFi) coupled with Hi-C for chromosome-level scaffolding, ensuring optimal resolution of complex regions and precise chromosomal anchoring.
The Deliverable: A technically justified sequencing strategy perfectly aligned with downstream multi-omics constraints.
Unambiguous demarcation between standard workflows, custom bioinformatics development, and strict QC standards.
Our Approach
Our cross-functional teams generated a consolidated blueprint. We defined sample eligibility criteria, expected assembly metrics, and isolated highly specific analytical requests into documented custom bioinformatics modules.
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Stage 4
Architecting a Unified Multi-Assay Framework
The Challenge
Preventing “data silos” where disjointed omics datasets lack a unified analytical baseline.
Our Approach
We built a Data Dependency Blueprint. We harmonized sample grouping, quality thresholds, and data handoffs. We ensured that upstream genome assembly outputs seamlessly fed into downstream ATAC and RNA mapping algorithms.
Delivers long-range chromatin interaction data. Essential for elevating contigs to chromosome-level scaffolds and validating the structural integrity of the genome assembly.
Profiles the accessible chromatin landscape. Mapped directly against the newly assembled de novo reference to identify cis-regulatory elements (enhancers, promoters) with high precision.
A highly optimized technical route supported by sequencing and computational rationale.
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Multi-Assay Data Dependency Blueprint
Explicit mapping of how genome assembly outputs feed into regulatory and transcriptomic pipelines.
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Formalized Scope Definition
Clear separation between standardized bioinformatics pipelines and custom algorithmic development.
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Go/No-Go QC Gateways
Objective quality review points to validate data readiness before launching downstream modules.
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Transparent Project Governance
Milestone-based status updates anchoring client visibility across both wet-lab and computational phases.
Our Capabilities
What This Story Shows About Our Team
Biology-First Planning
We define what the research needs to resolve before recommending the technical route.
Cross-Functional Design
We bring wet-lab, sequencing, consulting, and bioinformatics perspectives into one plan.
Data-Dependency Thinking
We plan how outputs become inputs so connected assays share a usable analytical framework.
Transparent Governance
We define scope, quality gates, responsibilities, and review points before dependent work proceeds.
Speak to a Specialist
Planning a Comparable Genome & Regulatory Project?
Complex de novo genome and multi-omics projects require coordinated decisions across sample quality, genome complexity, reference resources, sequencing design, and downstream computation. If you are planning a de novo assembly or an integrated regulatory study, share your biological objectives, sample constraints, and key research questions with our sequencing and bioinformatics specialists so we can help define a robust workflow before sample submission.
