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OASIS: Online Application for the Survival Analysis of Lifespan Assays Performed in Aging Research

Author

Listed:
  • Jae-Seong Yang
  • Hyun-Jun Nam
  • Mihwa Seo
  • Seong Kyu Han
  • Yonghwan Choi
  • Hong Gil Nam
  • Seung-Jae Lee
  • Sanguk Kim

Abstract

Background: Aging is a fundamental biological process. Characterization of genetic and environmental factors that influence lifespan is a crucial step toward understanding the mechanisms of aging at the organism level. To capture the different effects of genetic and environmental factors on lifespan, appropriate statistical analyses are needed. Methodology/Principal Findings: We developed an online application for survival analysis (OASIS) that helps conduct various novel statistical tasks involved in analyzing survival data in a user-friendly manner. OASIS provides standard survival analysis results including Kaplan-Meier estimates and mean/median survival time by taking censored survival data. OASIS also provides various statistical tests including comparison of mean survival time, overall survival curve, and survival rate at specific time point. To visualize survival data, OASIS generates survival and log cumulative hazard plots that enable researchers to easily interpret their experimental results. Furthermore, we provide statistical methods that can analyze variances among survival datasets. In addition, users can analyze proportional effects of risk factors on survival. Conclusions/Significance: OASIS provides a platform that is essential to facilitate efficient statistical analyses of survival data in the field of aging research. Web application and a detailed description of algorithms are accessible from http://sbi.postech.ac.kr/oasis.

Suggested Citation

  • Jae-Seong Yang & Hyun-Jun Nam & Mihwa Seo & Seong Kyu Han & Yonghwan Choi & Hong Gil Nam & Seung-Jae Lee & Sanguk Kim, 2011. "OASIS: Online Application for the Survival Analysis of Lifespan Assays Performed in Aging Research," PLOS ONE, Public Library of Science, vol. 6(8), pages 1-11, August.
    • Handle: RePEc:plo:pone00:0023525
    DOI: 10.1371/journal.pone.0023525
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    References listed on IDEAS

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    1. Sakiko Honjoh & Takuya Yamamoto & Masaharu Uno & Eisuke Nishida, 2009. "Signalling through RHEB-1 mediates intermittent fasting-induced longevity in C. elegans," Nature, Nature, vol. 457(7230), pages 726-730, February.
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    Cited by:

    1. Eunah Kim & Andrea Annibal & Yujin Lee & Hae-Eun H. Park & Seokjin Ham & Dae-Eun Jeong & Younghun Kim & Sangsoon Park & Sujeong Kwon & Yoonji Jung & JiSoo Park & Sieun S. Kim & Adam Antebi & Seung-Jae, 2023. "Mitochondrial aconitase suppresses immunity by modulating oxaloacetate and the mitochondrial unfolded protein response," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    2. Begoña López-Arias & Enrique Turiégano & Ignacio Monedero & Inmaculada Canal & Laura Torroja, 2017. "Presynaptic Aβ40 prevents synapse addition in the adult Drosophila neuromuscular junction," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-22, May.
    3. Julio Montes-Torres & José Luis Subirats & Nuria Ribelles & Daniel Urda & Leonardo Franco & Emilio Alba & José Manuel Jerez, 2016. "Advanced Online Survival Analysis Tool for Predictive Modelling in Clinical Data Science," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-14, August.

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