Basecalling using hidden Markov models

DOI10.1016/j.jfranklin.2003.12.008zbMath1092.92015OpenAlexW2008389467MaRDI QIDQ2492529

Dan Ehrlich, Petros T. Boufounos, Sameh El Difrawy

Publication date: 14 June 2006

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2003.12.008

zbMATH Keywords

DNA sequencingHidden Markov modelsBasecallingPHRED

Mathematics Subject Classification ID

Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Biochemistry, molecular biology (92C40)

Related Items (3)

Spectral and graph-theoretic bounds on steady-state-probability estimation performance for an ergodic Markov chain ⋮ A confidence interval test for the detection of structural breaks ⋮ Regime switching volatility calibration by the Baum-Welch method

Uses Software

• Phrap

Cites Work

• Statistical learning formulation of the DNA base-calling problem and its solution in a Bayesian EM framework
• Unnamed Item

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