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The rise in computational systems biology approaches for understanding NF-κB signaling dynamics

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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The rise in computational systems biology approaches for understanding NF-κB signaling dynamics. / Williams, Richard; Timmis, Jon; Qwarnstrom, Eva E.
In: Science Signaling, Vol. 8, No. 385, fs13, 14.07.2015.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Williams, R, Timmis, J & Qwarnstrom, EE 2015, 'The rise in computational systems biology approaches for understanding NF-κB signaling dynamics', Science Signaling, vol. 8, no. 385, fs13. https://doi.org/10.1126/scisignal.aac6503

APA

Williams, R., Timmis, J., & Qwarnstrom, E. E. (2015). The rise in computational systems biology approaches for understanding NF-κB signaling dynamics. Science Signaling, 8(385), Article fs13. https://doi.org/10.1126/scisignal.aac6503

Vancouver

Williams R, Timmis J, Qwarnstrom EE. The rise in computational systems biology approaches for understanding NF-κB signaling dynamics. Science Signaling. 2015 Jul 14;8(385):fs13. doi: 10.1126/scisignal.aac6503

Author

Williams, Richard ; Timmis, Jon ; Qwarnstrom, Eva E. / The rise in computational systems biology approaches for understanding NF-κB signaling dynamics. In: Science Signaling. 2015 ; Vol. 8, No. 385.

Bibtex

@article{70c418af527b41bcb4d87d25cddcbb91,
title = "The rise in computational systems biology approaches for understanding NF-κB signaling dynamics",
abstract = "A study by Cheng et al. in this issue of Science Signaling highlights the distinct single-cell signaling characteristics conferred by pathways mediated by the adaptor proteins MyD88 and TRIF in the TLR4-dependent activation of the transcription factor nuclear factor κB (NF-κB).",
author = "Richard Williams and Jon Timmis and Qwarnstrom, {Eva E.}",
year = "2015",
month = jul,
day = "14",
doi = "10.1126/scisignal.aac6503",
language = "English",
volume = "8",
journal = "Science Signaling",
issn = "1945-0877",
publisher = "American Association for the Advancement of Science",
number = "385",

}

RIS

TY - JOUR

T1 - The rise in computational systems biology approaches for understanding NF-κB signaling dynamics

AU - Williams, Richard

AU - Timmis, Jon

AU - Qwarnstrom, Eva E.

PY - 2015/7/14

Y1 - 2015/7/14

N2 - A study by Cheng et al. in this issue of Science Signaling highlights the distinct single-cell signaling characteristics conferred by pathways mediated by the adaptor proteins MyD88 and TRIF in the TLR4-dependent activation of the transcription factor nuclear factor κB (NF-κB).

AB - A study by Cheng et al. in this issue of Science Signaling highlights the distinct single-cell signaling characteristics conferred by pathways mediated by the adaptor proteins MyD88 and TRIF in the TLR4-dependent activation of the transcription factor nuclear factor κB (NF-κB).

U2 - 10.1126/scisignal.aac6503

DO - 10.1126/scisignal.aac6503

M3 - Journal article

VL - 8

JO - Science Signaling

JF - Science Signaling

SN - 1945-0877

IS - 385

M1 - fs13

ER -