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Validate Your Oligo Pool Before Vendor Upload

Run sequence QC, check synthesis risk, and export vendor-ready files before you submit CRISPR libraries, NGS panels, gene assembly pools, or mutagenesis designs for synthesis.

Page role: this homepage is the calculator-led workflow router for OligoPool. Use it to choose the next stable-attractor workspace for batch QC, synthesis-risk calculation, coverage sizing, vendor-format export, or oligo-pool planning.

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Why Use These Tools

Scientifically Accurate

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

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All calculations run in your browser. Sequences and result rows are not transmitted to our servers; analytics only records aggregate site interactions.

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

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Vendor-Agnostic Design Processing

Move from a checked sequence pool to a vendor decision path and export format. Compare pool fit, QC scope, delivery assumptions, and then adapt files for the selected ordering workflow.

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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.