{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"bioRxiv"}],"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T11:06:44Z","timestamp":1775300804512,"version":"3.50.1"},"posted":{"date-parts":[[2026,4,1]]},"group-title":"Bioinformatics","reference-count":14,"publisher":"openRxiv","license":[{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Ministery of Defense, Portugal","award":["P\u00b0 55\/2022(17) N\u00b0 2468 \/ CG"],"award-info":[{"award-number":["P\u00b0 55\/2022(17) N\u00b0 2468 \/ CG"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2026,4,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                <jats:p>\n                  Actigraphy is a non-invasive and cost-effective method for monitoring behavioral rhythms under real-world conditions by collecting time-resolved measurements of locomotor activity, light exposure, and temperature. Although several open-source packages support specific aspects of actigraphy analysis, aspects such as preprocessing, metric calculation, and mathematical modeling are often distributed across separate software packages, limiting interoperability and increasing programming overhead. Here we introduce\n                  <jats:italic>circStudio<\/jats:italic>\n                  , a Python package that unifies actigraphy data processing and mathematical modeling of circadian rhythms within a single framework. Built from the\n                  <jats:italic>pyActigraphy<\/jats:italic>\n                  codebase and integrating circadian models from the Arcascope\n                  <jats:italic>circadian<\/jats:italic>\n                  package, circStudio provides flexible preprocessing tools, support for multiple actigraphy file formats through adaptor classes, standalone functions for computing commonly used actigraphy metrics, and implementations of several mathematical models of circadian rhythms. The package enables users to move efficiently from raw wearable data to physiologically interpretable circadian outputs. Ultimately, circStudio aims to facilitate reproducible workflows and to provide a flexible foundation for research applications across circadian biology, sleep science, and digital health.\n                <\/jats:p>","DOI":"10.64898\/2026.03.30.711342","type":"posted-content","created":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T02:51:40Z","timestamp":1775098300000},"source":"Crossref","is-referenced-by-count":0,"title":["Introducing\n                  <i>circStudio<\/i>\n                  , a Python package for preprocessing, analyzing and modeling actigraphy data"],"prefix":"10.64898","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7064-0191","authenticated-orcid":false,"given":"Daniel","family":"Marques","sequence":"first","affiliation":[{"name":"Gulbenkian Institute for Molecular Medicine, Lisbon, Portugal"},{"name":"Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal"}]},{"given":"Carina","family":"Fernandes","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6585-3993","authenticated-orcid":false,"given":"C\u00e1tia","family":"Reis","sequence":"additional","affiliation":[{"name":"Gulbenkian Institute for Molecular Medicine, Lisbon, Portugal"},{"name":"Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal"},{"name":"Universidade Cat\u00f3lica Portuguesa, Cat\u00f3lica Research Centre for Psychological, Family and Social Wellbeing, Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1215-0538","authenticated-orcid":false,"given":"Nuno L.","family":"Barbosa-Morais","sequence":"additional","affiliation":[{"name":"Gulbenkian Institute for Molecular Medicine, Lisbon, Portugal"},{"name":"Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal"}]}],"member":"54368","reference":[{"key":"2026040403100595000_2026.03.30.711342v1.1","doi-asserted-by":"publisher","DOI":"10.1177\/0748730412468081"},{"key":"2026040403100595000_2026.03.30.711342v1.2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpsychires.2025.03.003"},{"key":"2026040403100595000_2026.03.30.711342v1.3","doi-asserted-by":"publisher","DOI":"10.1093\/annweh\/wxaa007"},{"key":"2026040403100595000_2026.03.30.711342v1.4","doi-asserted-by":"publisher","DOI":"10.1177\/074873099129000867"},{"key":"2026040403100595000_2026.03.30.711342v1.5","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1009514"},{"key":"2026040403100595000_2026.03.30.711342v1.6","doi-asserted-by":"publisher","DOI":"10.1080\/15502724.2023.2296863"},{"key":"2026040403100595000_2026.03.30.711342v1.7","doi-asserted-by":"publisher","DOI":"10.1177\/0748730419878298"},{"key":"2026040403100595000_2026.03.30.711342v1.8","doi-asserted-by":"publisher","DOI":"10.1016\/j.coisb.2020.08.001"},{"key":"2026040403100595000_2026.03.30.711342v1.9","doi-asserted-by":"publisher","DOI":"10.1177\/074873049901400608"},{"key":"2026040403100595000_2026.03.30.711342v1.10","doi-asserted-by":"publisher","DOI":"10.1101\/2025.06.16.659930"},{"key":"2026040403100595000_2026.03.30.711342v1.11","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1011743"},{"key":"2026040403100595000_2026.03.30.711342v1.12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jtbi.2007.04.001"},{"key":"2026040403100595000_2026.03.30.711342v1.13","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.8206871"},{"key":"2026040403100595000_2026.03.30.711342v1.14","doi-asserted-by":"publisher","DOI":"10.21105\/joss.07601"}],"container-title":[],"original-title":[],"link":[{"URL":"https:\/\/syndication.highwire.org\/content\/doi\/10.64898\/2026.03.30.711342","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T10:10:12Z","timestamp":1775297412000},"score":1,"resource":{"primary":{"URL":"http:\/\/biorxiv.org\/lookup\/doi\/10.64898\/2026.03.30.711342"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,1]]},"references-count":14,"URL":"https:\/\/doi.org\/10.64898\/2026.03.30.711342","relation":{},"subject":[],"published":{"date-parts":[[2026,4,1]]},"subtype":"preprint"}}