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Bioinformatics for Clinical Next Generation Sequencing
by
Hart, Steven N
, Klee, Eric W
, Oliver, Gavin R
in
Algorithms
/ Bioinformatics
/ Clinical Laboratory Techniques - instrumentation
/ Clinical Laboratory Techniques - methods
/ Clinical Laboratory Techniques - trends
/ Computational Biology - instrumentation
/ Computational Biology - methods
/ Computational Biology - trends
/ DNA methylation
/ Genetic screening
/ Genetic testing
/ Genetics
/ Genome, Human
/ Genomes
/ Humans
/ Laboratories
/ Practice Guidelines as Topic
/ Sequence Analysis, DNA - methods
/ Sequence Analysis, DNA - trends
/ Signal processing
/ Software
2015
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Bioinformatics for Clinical Next Generation Sequencing
by
Hart, Steven N
, Klee, Eric W
, Oliver, Gavin R
in
Algorithms
/ Bioinformatics
/ Clinical Laboratory Techniques - instrumentation
/ Clinical Laboratory Techniques - methods
/ Clinical Laboratory Techniques - trends
/ Computational Biology - instrumentation
/ Computational Biology - methods
/ Computational Biology - trends
/ DNA methylation
/ Genetic screening
/ Genetic testing
/ Genetics
/ Genome, Human
/ Genomes
/ Humans
/ Laboratories
/ Practice Guidelines as Topic
/ Sequence Analysis, DNA - methods
/ Sequence Analysis, DNA - trends
/ Signal processing
/ Software
2015
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Do you wish to request the book?
Bioinformatics for Clinical Next Generation Sequencing
by
Hart, Steven N
, Klee, Eric W
, Oliver, Gavin R
in
Algorithms
/ Bioinformatics
/ Clinical Laboratory Techniques - instrumentation
/ Clinical Laboratory Techniques - methods
/ Clinical Laboratory Techniques - trends
/ Computational Biology - instrumentation
/ Computational Biology - methods
/ Computational Biology - trends
/ DNA methylation
/ Genetic screening
/ Genetic testing
/ Genetics
/ Genome, Human
/ Genomes
/ Humans
/ Laboratories
/ Practice Guidelines as Topic
/ Sequence Analysis, DNA - methods
/ Sequence Analysis, DNA - trends
/ Signal processing
/ Software
2015
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Journal Article
Bioinformatics for Clinical Next Generation Sequencing
2015
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Overview
Next generation sequencing (NGS)-based assays continue to redefine the field of genetic testing. Owing to the complexity of the data, bioinformatics has become a necessary component in any laboratory implementing a clinical NGS test.
The computational components of an NGS-based work flow can be conceptualized as primary, secondary, and tertiary analytics. Each of these components addresses a necessary step in the transformation of raw data into clinically actionable knowledge. Understanding the basic concepts of these analysis steps is important in assessing and addressing the informatics needs of a molecular diagnostics laboratory. Equally critical is a familiarity with the regulatory requirements addressing the bioinformatics analyses. These and other topics are covered in this review article.
Bioinformatics has become an important component in clinical laboratories generating, analyzing, maintaining, and interpreting data from molecular genetics testing. Given the rapid adoption of NGS-based clinical testing, service providers must develop informatics work flows that adhere to the rigor of clinical laboratory standards, yet are flexible to changes as the chemistry and software for analyzing sequencing data mature.
Publisher
Oxford University Press
Subject
/ Clinical Laboratory Techniques - instrumentation
/ Clinical Laboratory Techniques - methods
/ Clinical Laboratory Techniques - trends
/ Computational Biology - instrumentation
/ Computational Biology - methods
/ Computational Biology - trends
/ Genetics
/ Genomes
/ Humans
/ Practice Guidelines as Topic
/ Sequence Analysis, DNA - methods
/ Sequence Analysis, DNA - trends
/ Software
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