상위피인용논문
POSTECH, 현 KAIST
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
1Department of Life Sciences, Pohang University of Science and Technology, Pohang, Korea
2Department of IT Convergence and Engineering, Pohang University of Science and Technology, Pohang, Korea
3School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology, Pohang, Korea
4EMBL/CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG), Barcelona, Spain
Correspondence to: Seung-Jae V. Lee, Sanguk Kim
Abstract
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.
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