Research Papers:

OASIS 2: online application for survival analysis 2 with features for the analysis of maximal lifespan and healthspan in aging research

Seong Kyu Han, Dongyeop Lee, Heetak Lee, Donghyo Kim, Heehwa G. Son, Jae-Seong Yang, Seung-Jae V. Lee, _ Sanguk Kim

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Oncotarget. 2016; 7:56147-56152. https://doi.org/10.18632/oncotarget.11269

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Seong Kyu Han1, Dongyeop Lee1, Heetak Lee1, Donghyo Kim1, Heehwa G. Son1, Jae-Seong Yang4, Seung-Jae V. Lee1,2,3 and Sanguk Kim1,2,3

1 Department of Life Sciences, Pohang University of Science and Technology, Pohang, Korea

2 Department of IT Convergence and Engineering, Pohang University of Science and Technology, Pohang, Korea

3 School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology, Pohang, Korea

4 EMBL/CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG), Barcelona, Spain

Correspondence to:

Seung-Jae V. Lee, email:

Sanguk Kim, email:

Keywords: web-service, statistics, survival, maximum lifespan, healthspan

Received: April 28, 2016 Accepted: July 30, 2016 Published: August 12, 2016


Online application for survival analysis (OASIS) has served as a popular and convenient platform for the statistical analysis of various survival data, particularly in the field of aging research. With the recent advances in the fields of aging research that deal with complex survival data, we noticed a need for updates to the current version of OASIS. Here, we report OASIS 2 (http://sbi.postech.ac.kr/oasis2), which provides extended statistical tools for survival data and an enhanced user interface. In particular, OASIS 2 enables the statistical comparison of maximal lifespans, which is potentially useful for determining key factors that limit the lifespan of a population. Furthermore, OASIS 2 provides statistical and graphical tools that compare values in different conditions and times. That feature is useful for comparing age-associated changes in physiological activities, which can be used as indicators of “healthspan.” We believe that OASIS 2 will serve as a standard platform for survival analysis with advanced and user-friendly statistical tools for experimental biologists in the field of aging research.

Author Information

Seong Kyu Han

Dongyeop Lee

Heetak Lee

Donghyo Kim

Heehwa G. Son

Jae-Seong Yang

Seung-Jae V. Lee
Primary Contact  _

Sanguk Kim

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