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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao PROTEOMICSarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
PROTEOMICS
Article . 2011 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
PROTEOMICS
Article . 2011
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Proteogenomics

Authors: Santosh, Renuse; Raghothama, Chaerkady; Akhilesh, Pandey;
Abstract

AbstractThe ability to sequence DNA rapidly, inexpensively and in a high‐throughput fashion provides a unique opportunity to sequence whole genomes of a large number of species. The cataloging of protein‐coding genes from these species, however, remains a non‐trivial task with the majority of initial genome annotation dependent on the use of gene prediction algorithms. Recent advances in mass spectrometry‐based proteomics now enable generation of accurate and comprehensive protein sequence of tissues and organisms. Proteogenomics allows us to harness the wealth of information available at the proteome level and apply it to the available genomic information of organisms. This includes identifying novel genes and splice isoforms, assigning correct start sites and validating predicted exons and genes. It is also possible to use proteogenomics to identify protein variants that could cause diseases, to identify protein biomarkers and to study genome variation. We anticipate proteogenomics to become a powerful approach that will be routinely employed by ‘Genome and Proteome Centers’ of the future.

Related Organizations
Keywords

Proteomics, Systems Biology, Chromosome Mapping, Proteins, Genomics, Mass Spectrometry, Mice, Animals, Humans, Biomarkers, Software

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
112
Top 10%
Top 10%
Top 1%
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