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Short tandem repeat stutter model inferred from direct measurement ofin vitrostutter noise
Author(s) -
Ofir Raz,
Tamir Biezuner,
Adam Spiro,
Shiran Amir,
Lilach Milo,
Alon Titelman,
Amos Onn,
Noa Chapal-Ilani,
Liming Tao,
Tzipy Marx,
Uriel Feige,
Ehud Shapiro
Publication year - 2019
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gky1318
Subject(s) - biology , microsatellite , computational biology , context (archaeology) , genotyping , genetics , noise (video) , genotype , computer science , artificial intelligence , gene , allele , paleontology , image (mathematics)
Short tandem repeats (STRs) are polymorphic genomic loci valuable for various applications such as research, diagnostics and forensics. However, their polymorphic nature also introduces noise during in vitro amplification, making them difficult to analyze. Although it is possible to overcome stutter noise by using amplification-free library preparation, such protocols are presently incompatible with single cell analysis and with targeted-enrichment protocols. To address this challenge, we have designed a method for direct measurement of in vitro noise. Using a synthetic STR sequencing library, we have calibrated a Markov model for the prediction of stutter patterns at any amplification cycle. By employing this model, we have managed to genotype accurately cases of severe amplification bias, and biallelic STR signals, and validated our model for several high-fidelity PCR enzymes. Finally, we compared this model in the context of a naïve STR genotyping strategy against the state-of-the-art on a benchmark of single cells, demonstrating superior accuracy.

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