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Article

Hidden Markov Models in Bioinformatics: SNV Inference from Next Generation Sequence.

Methods in molecular biology (Clifton, N.J.) - 1 Jan 2017

Bian Jiawen, Zhou Xiaobo

Abstract excerpt

The rapid development of next generation sequencing (NGS) technology provides a novel avenue for genomic exploration and research. Hidden Markov models (HMMs) have wide applications in pattern recognition as well as Bioinformatics such as transcription factor binding sites and cis-regulatory modules detection. An application of HMM is introduced in this chapter with the in-deep developing of NGS. Single...

Topics

Algorithms
Computational Biology
Genomics
Genotype
High-Throughput Nucleotide Sequencing
Humans
Markov Chains
Models, Molecular
Polymorphism, Single Nucleotide
Regulatory Sequences, Nucleic Acid
Sequence Analysis, DNA

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 28224495
DOI: 10.1007/978-1-4939-6753-7_9

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