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Adv Exp Med Biol. 2016;926:11-19.

Next Generation Sequencing Data and Proteogenomics.

Author information

1
Department of Medicine, New York University Medical Center, 550 First Avenue, New York, NY, 10016, USA.
2
Center for Health Informatics and Bioinformatics, New York University Medical Center, 227 East 30th Street, New York, NY, 10016, USA.
3
Institute for Systems Genetics, New York University Medical Center, 430 East 29th Street, New York, NY, 10016, USA. david@fenyolab.org.
4
Department of Biochemistry and Molecular Pharmacology, New York University Medical Center, 550 First Avenue, New York, NY, 10016, USA. david@fenyolab.org.

Abstract

The field of proteogenomics has been driven by combined advances in next-generation sequencing (NGS) and proteomic methods. NGS technologies are now both rapid and affordable, making it feasible to include sequencing in the clinic and academic research setting. Alongside the improvements in sequencing technologies, methods in high throughput proteomics have increased the depth of coverage and the speed of analysis. The integration of these data types using continuously evolving bioinformatics methods allows for improvements in gene and protein annotation, and a more comprehensive understanding of biological systems.

KEYWORDS:

Bioinformatics; Gene annotation; Next generation sequencing; Peptide identification; Proteogenomic integration

PMID:
27686803
DOI:
10.1007/978-3-319-42316-6_2
[Indexed for MEDLINE]

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