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Journal of Investigative Dermatology Symposium Proceedings
Article
License: Elsevier Non-Commercial
Data sources: UnpayWall
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Journal of Investigative Dermatology Symposium Proceedings
Article . 2015
License: Elsevier Non-Commercial
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Journal of Investigative Dermatology Symposium Proceedings
Article . 2015 . Peer-reviewed
License: Elsevier Non-Commercial
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Big Data, Big Opportunities, and Big Challenges

Authors: Frelinger, Jeffrey A.;

Big Data, Big Opportunities, and Big Challenges

Abstract

High-throughput assays have begun to revolutionize modern biology and medicine. The advent of cheap next-generation sequencing (NGS) has made it possible to interrogate cells and human populations as never before. Although this has allowed us to investigate the genetics, gene expression, and impacts of the microbiome, there remain both practical and conceptual challenges. These include data handling, storage, and statistical analysis, as well as an inherent problem of the analysis of heterogeneous cell populations.

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Keywords

Alopecia Areata, Genome, Human, Microbiota, Statistics as Topic, Computational Biology, High-Throughput Nucleotide Sequencing, Information Storage and Retrieval, Cell Biology, Dermatology, Animals, Humans, Molecular Biology, Biotechnology, Genome-Wide Association Study, Skin

  • BIP!
    Impact byBIP!
    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).
    12
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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!
12
Top 10%
Average
Average
hybrid