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Oligo Pool Design & QC 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.

Choose a calculator, check a sequence set, or prepare an order file without sending sequence data to a server.

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Why Use These Tools

Published Method Basis

Tm and related calculations reference peer-reviewed methods, including SantaLucia 1998 and Breslauer 1986, with assumptions documented in the method pages.

Privacy Focused

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

Open Access

No registration, no paywall, and no vendor lock-in. Use the calculators directly when you need a quick design check.

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Vendor-Agnostic Order Preparation

Move from a checked sequence pool to a vendor shortlist and export format. Compare pool fit, QC scope, delivery assumptions, and file requirements before ordering.

Open the Oligo Pool GuideCompare pool vendors

Start with the Right Calculator

Browse all available tools or open the relevant guide before checking a sequence set. No registration is required. For common experimental contexts, see the use case examples and related design notes.

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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.

Parallel synthesis makes large sequence libraries practical for functional genomics. Oligo pools support 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.