{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T11:43:40Z","timestamp":1753875820789,"version":"3.41.2"},"reference-count":27,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T00:00:00Z","timestamp":1749772800000},"content-version":"vor","delay-in-days":12,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"German Federal Institute for Risk Assessment","award":["60-0102-01.P584"],"award-info":[{"award-number":["60-0102-01.P584"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>In biological research, complex and noisy biological systems with small effects are often studied with small sample sizes. Such a setting is ideal for Bayesian analysis as it supplements new data with prior knowledge and emphasizes uncertainty quantification. Unfortunately, the proper application of Bayesian analysis requires a degree of computational expertise beyond the training of many biologists.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>We have developed BAYAS (BAYesian Analysis Simplified), a web-based tool that provides programming-free access to Bayesian workflows for numerous use cases. BAYAS comes with three modules: Planning for Bayesian determination of sample sizes; Evaluation for Bayesian analysis of experimental data; Report to make analyses transparent and reproducible.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>BAYAS can be accessed freely at https:\/\/bayas.zmb.uni-due.de\/app\/bayas (server) and https:\/\/github.com\/GitCJW\/bayas_bioinformatics or https:\/\/doi.org\/10.5281\/zenodo.15052467 (source).<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btaf276","type":"journal-article","created":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T13:26:50Z","timestamp":1749821210000},"source":"Crossref","is-referenced-by-count":0,"title":["BAYAS: simplifying access to Bayesian analysis for biologists"],"prefix":"10.1093","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0669-9073","authenticated-orcid":false,"given":"Christoph","family":"Waterkamp","sequence":"first","affiliation":[{"name":"Bioinformatics and Computational Biophysics, Faculty of Biology, University of Duisburg-Essen , Universit\u00e4tsstra\u00dfe 2 , Essen, NRW, 45117,","place":["Germany"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2973-7869","authenticated-orcid":false,"given":"Daniel","family":"Hoffmann","sequence":"additional","affiliation":[{"name":"Bioinformatics and Computational Biophysics, Faculty of Biology, University of Duisburg-Essen , Universit\u00e4tsstra\u00dfe 2 , Essen, NRW, 45117,","place":["Germany"]},{"name":"Center for Medical Biotechnology, University of Duisburg-Essen , Universit\u00e4tsstra\u00dfe 2 , Essen, NRW, 45117,","place":["Germany"]},{"name":"Center for Computational Sciences and Simulation, University of Duisburg-Essen , Universit\u00e4tsstra\u00dfe 2 , Essen, NRW, 45117,","place":["Germany"]}]}],"member":"286","published-online":{"date-parts":[[2025,6,13]]},"reference":[{"key":"2025070408272218200_btaf276-B1","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1038\/d41586-019-00857-9","article-title":"Scientists rise up against statistical significance","volume":"567","author":"Amrhein","year":"2019","journal-title":"Nature"},{"key":"2025070408272218200_btaf276-B2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v080.i01","article-title":"brms: an R package for Bayesian multilevel models using Stan","volume":"80","author":"B\u00fcrkner","year":"2017","journal-title":"J Stat Soft"},{"key":"2025070408272218200_btaf276-B3","doi-asserted-by":"crossref","first-page":"25","DOI":"10.18637\/jss.v076.i01","article-title":"Stan: a probabilistic programming language","volume":"76","author":"Carpenter","year":"2017","journal-title":"J Stat Softw"},{"year":"2024","author":"Chang","key":"2025070408272218200_btaf276-B4"},{"volume-title":"Optimal Statistical Decisions","year":"2005","author":"DeGroot","key":"2025070408272218200_btaf276-B5"},{"volume-title":"Statistical Methods for Research Workers","year":"1925","author":"Fisher","key":"2025070408272218200_btaf276-B6"},{"key":"2025070408272218200_btaf276-B7","first-page":"517","article-title":"Amortized inference in probabilistic reasoning","volume":"36","author":"Gershman","year":"2014","journal-title":"Cognit Sci"},{"year":"2024","author":"Goodrich","key":"2025070408272218200_btaf276-B8"},{"volume-title":"A Study of the Rat\u2019s Behavior in a Field. A Contribution to Method in Comparative Psychology","year":"1932","author":"Hall","key":"2025070408272218200_btaf276-B9"},{"key":"2025070408272218200_btaf276-B10","doi-asserted-by":"crossref","first-page":"e124","DOI":"10.1371\/journal.pmed.0020124","article-title":"Why most published research findings are false","volume":"2","author":"Ioannidis","year":"2005","journal-title":"PLoS Med"},{"volume-title":"Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan","year":"2014","author":"Kruschke","key":"2025070408272218200_btaf276-B11"},{"key":"2025070408272218200_btaf276-B12","doi-asserted-by":"crossref","first-page":"1282","DOI":"10.1038\/s41562-021-01177-7","article-title":"Bayesian analysis reporting guidelines","volume":"5","author":"Kruschke","year":"2021","journal-title":"Nat Hum Behav"},{"key":"2025070408272218200_btaf276-B13","doi-asserted-by":"crossref","first-page":"178","DOI":"10.3758\/s13423-016-1221-4","article-title":"The Bayesian new statistics: hypothesis testing, estimation, meta-analysis, and power analysis from a bayesian perspective","volume":"25","author":"Kruschke","year":"2018","journal-title":"Psychon Bull Rev"},{"key":"2025070408272218200_btaf276-B14","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1214\/aoms\/1177730491","article-title":"On a test of whether one of two random variables is stochastically larger than the other","volume":"18","author":"Mann","year":"1947","journal-title":"Ann Math Stat"},{"key":"2025070408272218200_btaf276-B15","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4899-3242-6","volume-title":"Generalized Linear Models","author":"McCullagh","year":"1989","edition":"2nd edn"},{"key":"2025070408272218200_btaf276-B16","doi-asserted-by":"crossref","DOI":"10.1201\/9780429029608","volume-title":"Statistical Rethinking: A Bayesian Course with Examples in R and STAN","author":"McElreath","year":"2020"},{"key":"2025070408272218200_btaf276-B17","doi-asserted-by":"crossref","first-page":"126002","DOI":"10.6028\/jres.126.002","article-title":"Optbayesexpt: sequential Bayesian experiment design for adaptive measurements","volume":"126","author":"McMichael","year":"2021","journal-title":"J Res Natl Inst Stand Technol"},{"key":"2025070408272218200_btaf276-B18","first-page":"289","article-title":"IX. On the problem of the most efficient tests of statistical hypotheses","volume":"231","author":"Neyman","year":"1933","journal-title":"Philos Trans R Soc Lond Ser A Contain Papers Math Phys Charact"},{"key":"2025070408272218200_btaf276-B19","doi-asserted-by":"crossref","first-page":"1769","DOI":"10.1177\/0271678X20943823","article-title":"The arrive guidelines 2.0: updated guidelines for reporting animal research","volume":"40","author":"Percie Du Sert","year":"2020","journal-title":"J Cerebral Blood Flow Metab"},{"key":"2025070408272218200_btaf276-B20","doi-asserted-by":"crossref","first-page":"1738","DOI":"10.3758\/s13428-023-02118-0","article-title":"Sample size and power calculations for causal mediation analysis: a tutorial and shiny app","volume":"56","author":"Qin","year":"2024","journal-title":"Behav Res Methods"},{"key":"2025070408272218200_btaf276-B21","doi-asserted-by":"crossref","first-page":"335","DOI":"10.32614\/RJ-2023-016","article-title":"Bayesppd: an r package for Bayesian sample size determination using the power and normalized power prior for generalized linear models","volume":"14","author":"Shen","year":"2023","journal-title":"R J"},{"year":"2024","author":"Stan Development Team","key":"2025070408272218200_btaf276-B22"},{"key":"2025070408272218200_btaf276-B23","doi-asserted-by":"crossref","first-page":"1","DOI":"10.2307\/2331554","article-title":"The probable error of a mean","volume":"6","author":"Student","year":"1908","journal-title":"Biometrika"},{"year":"2022","author":"Vehtari","key":"2025070408272218200_btaf276-B24"},{"key":"2025070408272218200_btaf276-B25","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1080\/00031305.2016.1154108","article-title":"The ASA\u2019s statement on p-values: context, process, and purpose","volume":"70","author":"Wasserstein","year":"2016","journal-title":"Am Stat"},{"key":"2025070408272218200_btaf276-B26","doi-asserted-by":"crossref","first-page":"012021","DOI":"10.1088\/1742-6596\/2514\/1\/012021","article-title":"Increasing information gain in animal research by improving statistical model accuracy","volume":"2514","author":"Waterkamp","year":"2023","journal-title":"J Phys Conf Ser"},{"key":"2025070408272218200_btaf276-B27","first-page":"28","article-title":"The generalization of \u2018student\u2019s\u2019 problem when several different population variances are involved","volume":"34","author":"Welch","year":"1947","journal-title":"Biometrika"}],"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/advance-article-pdf\/doi\/10.1093\/bioinformatics\/btaf276\/63484351\/btaf276.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/41\/6\/btaf276\/63484351\/btaf276.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/41\/6\/btaf276\/63484351\/btaf276.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,4]],"date-time":"2025-07-04T12:27:30Z","timestamp":1751632050000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/doi\/10.1093\/bioinformatics\/btaf276\/8161562"}},"subtitle":[],"editor":[{"given":"Jonathan","family":"Wren","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2025,6]]},"references-count":27,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2025,6,2]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btaf276","relation":{},"ISSN":["1367-4811"],"issn-type":[{"type":"electronic","value":"1367-4811"}],"subject":[],"published-other":{"date-parts":[[2025,6]]},"published":{"date-parts":[[2025,6]]},"article-number":"btaf276"}}