Using networks to identify and interpret natural variation

Research output: Contribution to journal › Review › Research › peer-review

Standard

Using networks to identify and interpret natural variation. / Kliebenstein, Daniel J.

In: Current Opinion in Plant Biology, Vol. 54, 2020, p. 122-126.

Research output: Contribution to journal › Review › Research › peer-review

Harvard

Kliebenstein, DJ 2020, 'Using networks to identify and interpret natural variation', Current Opinion in Plant Biology, vol. 54, pp. 122-126. https://doi.org/10.1016/j.pbi.2020.04.005

APA

Kliebenstein, D. J. (2020). Using networks to identify and interpret natural variation. Current Opinion in Plant Biology, 54, 122-126. https://doi.org/10.1016/j.pbi.2020.04.005

Vancouver

Kliebenstein DJ. Using networks to identify and interpret natural variation. Current Opinion in Plant Biology. 2020;54:122-126. https://doi.org/10.1016/j.pbi.2020.04.005

Author

Kliebenstein, Daniel J. / Using networks to identify and interpret natural variation. In: Current Opinion in Plant Biology. 2020 ; Vol. 54. pp. 122-126.

Bibtex

@article{fd3153067c054606a53d651be46c6483,
title = "Using networks to identify and interpret natural variation",
abstract = "Studies on natural variation and network biology inherently work to summarize vast amounts of information and data. The combination of these two areas of study while creating datasets of immense complexity is critical to their mutual progress. Networks are necessary as a way to work to reduce the dimensionality inherent in natural variation with 100 s to 1000 s of genotypes. Correspondingly natural variation is essential for testing how networks may or may not be shared across individuals or species. Advances in this area of cross-fertilization including using networks directly as phenotypes and the use of networks to help in prioritizing candidate gene validation efforts. Interesting new observations on frequent presence-absence variation in gene content and adaptation is beginning to highlight the potential for natural variation in network presence-absence. This review attempts to delve into these new insights.",
keywords = "ARABIDOPSIS, GENES, TRANSCRIPTOME, ACCESSIONS, RESISTANCE, PHENOMICS",
author = "Kliebenstein, {Daniel J.}",
year = "2020",
doi = "10.1016/j.pbi.2020.04.005",
language = "English",
volume = "54",
pages = "122--126",
journal = "Current Opinion in Plant Biology",
issn = "1369-5266",
publisher = "Elsevier Ltd. * Current Opinion Journals",

}

RIS

TY - JOUR

T1 - Using networks to identify and interpret natural variation

AU - Kliebenstein, Daniel J.

PY - 2020

Y1 - 2020

N2 - Studies on natural variation and network biology inherently work to summarize vast amounts of information and data. The combination of these two areas of study while creating datasets of immense complexity is critical to their mutual progress. Networks are necessary as a way to work to reduce the dimensionality inherent in natural variation with 100 s to 1000 s of genotypes. Correspondingly natural variation is essential for testing how networks may or may not be shared across individuals or species. Advances in this area of cross-fertilization including using networks directly as phenotypes and the use of networks to help in prioritizing candidate gene validation efforts. Interesting new observations on frequent presence-absence variation in gene content and adaptation is beginning to highlight the potential for natural variation in network presence-absence. This review attempts to delve into these new insights.

AB - Studies on natural variation and network biology inherently work to summarize vast amounts of information and data. The combination of these two areas of study while creating datasets of immense complexity is critical to their mutual progress. Networks are necessary as a way to work to reduce the dimensionality inherent in natural variation with 100 s to 1000 s of genotypes. Correspondingly natural variation is essential for testing how networks may or may not be shared across individuals or species. Advances in this area of cross-fertilization including using networks directly as phenotypes and the use of networks to help in prioritizing candidate gene validation efforts. Interesting new observations on frequent presence-absence variation in gene content and adaptation is beginning to highlight the potential for natural variation in network presence-absence. This review attempts to delve into these new insights.

KW - ARABIDOPSIS

KW - GENES

KW - TRANSCRIPTOME

KW - ACCESSIONS

KW - RESISTANCE

KW - PHENOMICS

U2 - 10.1016/j.pbi.2020.04.005

DO - 10.1016/j.pbi.2020.04.005

M3 - Review

C2 - 32413801

VL - 54

SP - 122

EP - 126

JO - Current Opinion in Plant Biology

JF - Current Opinion in Plant Biology

SN - 1369-5266

ER -

ID: 249479834