Bioinformatics in otolaryngology research. Part one

Concepts in DNA sequencing and gene expression analysis

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Background: Advances in high-throughput molecular biology, genomics and epigenetics, coupled with exponential increases in computing power and data storage, have led to a new era in biological research and information. Bioinformatics, the discipline devoted to storing, analysing and interpreting large volumes of biological data, has become a crucial component of modern biomedical research. Research in otolaryngology has evolved along with these advances. Objectives: This review highlights several modern high-throughput research methods, and focuses on the bioinformatics principles necessary to carry out such studies. Several examples from recent literature pertinent to otolaryngology are provided. The review is divided into two parts; this first part discusses the bioinformatics approaches applied in nucleotide sequencing and gene expression analysis. Conclusion: This paper demonstrates how high-throughput nucleotide sequencing and transcriptomics are changing biology and medicine, and describes how these changes are affecting otorhinolaryngology. Sound bioinformatics approaches are required to obtain useful information from the vast new sources of data.

Original languageEnglish (US)
Pages (from-to)848-858
Number of pages11
JournalJournal of Laryngology and Otology
Volume128
Issue number10
DOIs
StatePublished - Oct 2 2014

Fingerprint

Otolaryngology
Computational Biology
DNA Sequence Analysis
Gene Expression
Information Storage and Retrieval
Research
High-Throughput Nucleotide Sequencing
Genomics
Epigenomics
Biomedical Research
Molecular Biology
Nucleotides
Medicine

Keywords

  • Bioinformatics
  • Gene Expression
  • High-Throughput Nucleotide Sequencing
  • Otolaryngology
  • Sequencing Analysis, DNA
  • Transcriptome

ASJC Scopus subject areas

  • Otorhinolaryngology
  • Medicine(all)

Cite this

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title = "Bioinformatics in otolaryngology research. Part one: Concepts in DNA sequencing and gene expression analysis",
abstract = "Background: Advances in high-throughput molecular biology, genomics and epigenetics, coupled with exponential increases in computing power and data storage, have led to a new era in biological research and information. Bioinformatics, the discipline devoted to storing, analysing and interpreting large volumes of biological data, has become a crucial component of modern biomedical research. Research in otolaryngology has evolved along with these advances. Objectives: This review highlights several modern high-throughput research methods, and focuses on the bioinformatics principles necessary to carry out such studies. Several examples from recent literature pertinent to otolaryngology are provided. The review is divided into two parts; this first part discusses the bioinformatics approaches applied in nucleotide sequencing and gene expression analysis. Conclusion: This paper demonstrates how high-throughput nucleotide sequencing and transcriptomics are changing biology and medicine, and describes how these changes are affecting otorhinolaryngology. Sound bioinformatics approaches are required to obtain useful information from the vast new sources of data.",
keywords = "Bioinformatics, Gene Expression, High-Throughput Nucleotide Sequencing, Otolaryngology, Sequencing Analysis, DNA, Transcriptome",
author = "Ow, {Thomas J.} and K. Upadhyay and Belbin, {T. J.} and Prystowsky, {Michael B.} and Harry Ostrer and Smith, {Richard V.}",
year = "2014",
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T2 - Concepts in DNA sequencing and gene expression analysis

AU - Ow, Thomas J.

AU - Upadhyay, K.

AU - Belbin, T. J.

AU - Prystowsky, Michael B.

AU - Ostrer, Harry

AU - Smith, Richard V.

PY - 2014/10/2

Y1 - 2014/10/2

N2 - Background: Advances in high-throughput molecular biology, genomics and epigenetics, coupled with exponential increases in computing power and data storage, have led to a new era in biological research and information. Bioinformatics, the discipline devoted to storing, analysing and interpreting large volumes of biological data, has become a crucial component of modern biomedical research. Research in otolaryngology has evolved along with these advances. Objectives: This review highlights several modern high-throughput research methods, and focuses on the bioinformatics principles necessary to carry out such studies. Several examples from recent literature pertinent to otolaryngology are provided. The review is divided into two parts; this first part discusses the bioinformatics approaches applied in nucleotide sequencing and gene expression analysis. Conclusion: This paper demonstrates how high-throughput nucleotide sequencing and transcriptomics are changing biology and medicine, and describes how these changes are affecting otorhinolaryngology. Sound bioinformatics approaches are required to obtain useful information from the vast new sources of data.

AB - Background: Advances in high-throughput molecular biology, genomics and epigenetics, coupled with exponential increases in computing power and data storage, have led to a new era in biological research and information. Bioinformatics, the discipline devoted to storing, analysing and interpreting large volumes of biological data, has become a crucial component of modern biomedical research. Research in otolaryngology has evolved along with these advances. Objectives: This review highlights several modern high-throughput research methods, and focuses on the bioinformatics principles necessary to carry out such studies. Several examples from recent literature pertinent to otolaryngology are provided. The review is divided into two parts; this first part discusses the bioinformatics approaches applied in nucleotide sequencing and gene expression analysis. Conclusion: This paper demonstrates how high-throughput nucleotide sequencing and transcriptomics are changing biology and medicine, and describes how these changes are affecting otorhinolaryngology. Sound bioinformatics approaches are required to obtain useful information from the vast new sources of data.

KW - Bioinformatics

KW - Gene Expression

KW - High-Throughput Nucleotide Sequencing

KW - Otolaryngology

KW - Sequencing Analysis, DNA

KW - Transcriptome

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