ArticlePloS one2011
OASIS: online application for the survival analysis of lifespan assays performed in aging research.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 204 papers.
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Who cites it
204 citing papers in PubMed.
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- Picolinic acid, a tryptophan metabolite, exhibits anabolic effects in muscle cells and improves lifespan and movement in C. elegans.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- Impact of bacterial inactivation methods on Caenorhabditis elegans feeding and healthspan.Scientific reports · 2025Article
- INS-17, an insulin-receptor ligand, confers specificity in adult IIS-regulated phenotypes inbioRxiv : the preprint server for biology · 2025Article
- The tumor suppressor CYLD acts as a deubiquitinase for mTOR to constrain its activity.bioRxiv : the preprint server for biology · 2025Article
- The aging factor EPS8 induces disease-related protein aggregation through RAC signaling hyperactivation.Nature aging · 2025Article
- Brief guide to assays for measuring health parameters using Caenorhabditis elegans.Molecules and cells · 2025Review
- The Egh16-like virulence factor TrsA of the nematode-trapping fungus Arthrobotrys flagrans facilitates intrusion into its host Caenorhabditis elegans.PLoS pathogens · 2025Article
- Brief guide to Caenorhabditis elegans survival assays.Molecules and cells · 2025Review
- Biological and Phytochemical Insights IntoFood science & nutrition · 2025Article
- Differential impacts of ribosomal protein haploinsufficiency on mitochondrial function.The Journal of cell biology · 2025Article
144 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAging 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
findingsWe 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.
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