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Oligo Pool Design & QC Tools

An oligo pool is a mixed library of many DNA oligos used for CRISPR screens, custom NGS panels, gene assembly, and mutagenesis. OligoPool gives you free tools and guides to design oligo pools, run batch QC, compare vendors, and estimate coverage, uniformity, and synthesis risk before you order.

10+ ToolsFree ForeverPrivacy-FocusedBatch Processing

Why Use These Tools

Scientifically Accurate

Based on peer-reviewed methods (SantaLucia 1998, Breslauer 1986). All formulas and assumptions are transparent and documented.

Privacy Focused

All calculations run in your browser. No sequences or results are transmitted to any server. No tracking, no analytics.

100% Free

No registration required, no paywalls, no vendor bias. Built as a personal project for the research community.

10+
Specialized Tools
100%
Free Forever
10K+
Sequences Per Batch
0
Data Collection

Vendor-Agnostic Design Processing

Easily transition your designed pool to commercial array-synthesized platforms. Optimize and adapt formats for major providers including Twist Bioscience, Agilent, GenScript, and CustomArray.

Compare Synthesis Formats & VendorsSee Twist vs IDT vs GenScript

Ready to Start Designing?

Browse all available tools or jump straight to the most popular calculator. No registration required, start calculating immediately. Need help? Check out our use case examples for step-by-step workflows.

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What is an Oligo Pool?

An oligo pool is a complex mixture of thousands to millions of distinct single-stranded DNA oligonucleotides synthesized in parallel on a microarray surface. Unlike traditional column-based synthesis which produces individual oligos in separate tubes, microarray synthesis generates massive libraries of sequences simultaneously in a single pool.

This fundamental shift in synthesis technology has revolutionized functional genomics. Oligo pools are the essential building blocks for high-throughput applications such as designing CRISPR sgRNA pools for pooled screening, assembling synthetic genes from oligo pools, and building custom NGS target-enrichment panels.

Due to the inherent constraints of parallel synthesis, such as varying coupling efficiencies and edge effects on the microarray, computational quality control is critical. Predicting error rates and ensuring uniform sequence representation before ordering your pool can prevent costly experimental failures downstream.