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Computational Genomics · Cloud-native · Publication-ready

From sequencing data to
decisions your team can act on.

POD5 / FASTQ ──▶ cloud pipeline ──▶ figures + report
Start a project → See the pipeline
pipeline.dag · multi-assay · directed v7.0
INPUT DATA FASTQ - BAM - VCF - FAST5 - POD5 Illumina - Oxford Nanopore QC & PREP FastQC - Cutadapt MultiQC BASECALLING Dorado - Guppy POD5 to FASTQ RNA-Seq TERA-Seq Ribo-Seq scRNA-Seq m6A - WGS CLOUD COMPUTE AWS - GCP - Snakemake - Docker Batch - Vertex AI - SageMaker HIPAA-compliant - reproducible ANALYSIS DESeq2 - GSEA LIMMA - PathSeq ML / AI PyTorch - SHAP SageMaker - XAI INSIGHTS & FIGURES client-ready - reproducible GitHub pipeline - written report
SEE FULL PIPELINE →
thesis.md · v1.0 · author=pathak_p

Sequencing is not the bottleneck anymore.
Infrastructure is.

OmicsEdge exists for teams whose data is piling up faster than they can translate it into results, decisions, or next milestones.

- Priyansh Pathak, Chief Science Architect · OmicsEdge Consulting
40+ Projects delivered
7 yrs Production bioinformatics
5 Rare assay specializations
100% Work by founder
INPUT DATA FASTQ - BAM - VCF - FAST5 - POD5 Illumina - Oxford Nanopore QC & PREP FastQC - Cutadapt MultiQC BASECALLING Dorado - Guppy POD5 to FASTQ RNA-Seq TERA-Seq Ribo-Seq scRNA-Seq m6A - WGS CLOUD COMPUTE AWS - GCP - Snakemake - Docker Batch - Vertex AI - SageMaker HIPAA-compliant - reproducible ANALYSIS DESeq2 - GSEA LIMMA - PathSeq ML / AI PyTorch - SHAP SageMaker - XAI INSIGHTS & FIGURES client-ready - reproducible GitHub pipeline - written report
pipeline.stages · n=7

Every project follows a documented, reproducible seven-stage pipeline - from input QC through cloud compute, statistical analysis, ML modeling, and final output. All stages containerized with pinned tool versions.

INPUT POD5, FASTQ, BAM, VCF - any format
QC FastQC, NanoStat, Cutadapt, MultiQC
ALIGN STAR, minimap2, Dorado/Guppy
CLOUD AWS Batch / GCP · HIPAA-compliant
STATS DESeq2, fgsea, MOFA2, edgeR
ML/AI PyTorch, SHAP, XGBoost, SageMaker
OUTPUT Figures, report, GitHub repository
Explore full pipeline →
services.html · six_engagement_types

Six ways we help

Every engagement starts with your data format and biological question. We scope, deliver, and hand off - all in writing.

ATG · 01
NGS Pipeline Development
Custom Snakemake / Nextflow workflows for Illumina and Oxford Nanopore. QC, alignment, peak calling, variant annotation. Docker + Conda-locked, runs on AWS Batch or GCP Life Sciences.
SnakemakeNextflowSTARGATK
GCT · 02
Statistical Analysis & Figures
DESeq2, edgeR, fgsea pathway enrichment, ribosome profiling, m6A peak calling. Publication-ready vector figures (R / Python) matched to journal palettes.
DESeq2fgseaggplot2seaborn
CAG · 03
Multi-Omics Integration
MOFA2 latent factor analysis across RNA, ATAC, methylation, and proteomics layers. Identify co-varying signatures across omics modalities within a single coherent statistical model.
MOFA2BismarkANNOVARDMRcate
TAA · 04
ML Model Development
Variant classification, survival prediction, scRNA-Seq cell type annotation. SHAP-interpretable models deployed on SageMaker or Vertex AI - no black boxes, every feature explained.
PyTorchSHAPXGBoostSageMaker
GCA · 05
Cloud Infrastructure
Migrate HPC pipelines to AWS or GCP. HIPAA-compliant architectures, spot-instance cost optimization, CI/CD on GitHub Actions. BAA available for regulated patient data.
AWS BatchGCPTerraformHIPAA
TGC · 06
Consulting Retainer
Monthly advisory for biotech startups needing bioinformatics capacity without a full-time hire. Pipeline design, grant figure support, team training, ad-hoc analysis on demand.
StrategyGrant figsTrainingAd-hoc
Full service details →
why_omicsedge · n=5_reasons · evidence=production

Built differently.
For genomics that needs to ship.

Founder-only execution
Every project is done by Priyansh Pathak - PhD, 7+ years, 40+ projects. No junior analysts, no outsourcing. The person you hire is the person who writes your code.
Cloud-native by default
Pipelines run on AWS Batch or GCP Life Sciences with spot instance optimization. No dependency on your local HPC. Reproducible anywhere, auditable at every step.
Rare assay expertise
TERA-Seq, Ribo-Seq, m6A, long-read, scRNA-Seq - not just bulk RNA-Seq. When the assay is unusual, we have seen it before and written the pipeline.
Publication-ready output
Every engagement closes with a written interpretation report, vector figures, versioned GitHub repository, and a walkthrough call. Structured for manuscripts and grant applications.
HIPAA-compliant security
Encrypted data transfer, restricted IAM buckets, BAA available for protected health information. Pharma and clinical teams trust OmicsEdge with their most sensitive datasets.
>project.inquiry · status=ACCEPTING · slots=2

Ready to clear your
data backlog?

Describe your data and biology. You'll receive a written feasibility assessment within 48 hours - no commitment required.

Start a project → See deliverables