Use this synthesis error-rate and full-length yield calculator when you need to calculate coupling-efficiency yield, truncation distribution, or vendor synthesis-risk assumptions. Use coverage sizing when full-length yield assumptions need downstream representation planning; use uniformity, oligo pool design, and vendor comparison pages when ordering context is still the main decision.
Example input: a 120 nt oligo using array synthesis at 98.5% coupling efficiency. Interpret the output as a full-length yield risk: >90% is usually comfortable, 70-90% may need purification, and <70% should trigger shorter oligos, a different synthesis route, or stronger QC before order-file preparation.
This calculator models truncation yield from coupling efficiency, not from per-base sequence error rate. Coupling efficiency is the percentage of nucleotide addition cycles that succeed; per-base sequence error rates describe wrong bases, insertions, or deletions that may remain in synthesized molecules. Do not substitute a per-base sequence error rate for coupling failure when estimating full-length yield.
IDT oPools product data reports 99.6% coupling efficiency and uses the same full-length formula shown here: full-length yield = (coupling efficiency)^(n-1). At 200 nt, that gives about 45% theoretical full-length at 200 nt, not a >90% full-length yield. Modern column-based synthesis commonly sits around 99.0-99.5% coupling efficiency, while array-based synthesis used for oligo pools typically depends on the platform, length tier, and sequence complexity.
The full-length percentage is the fraction of molecules in a synthesis batch that have the correct, complete sequence. It drops exponentially with oligo length: for a 20-mer at 99.5% coupling efficiency, approximately 90% of molecules are full-length; for a 100-mer at the same efficiency, only about 61% are full-length. This is why longer oligos require PAGE or HPLC purification.
For oligo pools, error rates compound across thousands of sequences: subtle synthesis biases (sequence-dependent coupling failures, depurination at high-GC regions) create non-uniform representation. Understanding and predicting these error rates before ordering helps you choose the right synthesis platform, adjust pool design, and plan appropriate purification strategies.