We present a new web application to query and visualize time-series behavioral data: the Pergola web-server. This server provides a user-friendly interface for exploring longitudinal behavioral data taking advantage of the Pergola Python library. Using the server, users can process the data applying some basic operations, such as binning or grouping, while formatting the data into existing genomic formats. Thanks to this repurposing of genomics standards, the application automatically renders an interactive data visualization based on sophisticated genome visualization tools. Our tool allows behavioral scientists to share, display and navigate complex behavioral data comprising multiple individuals and multiple data types, in a scalable and flexible manner. A download option allows for further analysis using genomic tools. The server can be a great resource for the field in a time where behavioral science is entering a data-intensive cycle thanks to high-throughput behavioral phenotyping platforms. Pergola is publicly available at http://pergola.crg.eu/.

'Secretaria d’Universitats i Recerca del Departament d’Economia i Coneixement de la Generalitat i del Fons Social Europeu', Spanish Ministry of Economy, Industry and Competitiveness (MEIC) [BFU2014-55062-P, BFU2017-88264-P]; EMBL partnership, FEDER, the ‘Centro de Excelencia Severo Ochoa’ Programme; CERCA Programme/Generalitatde Catalunya; European Union's Horizon 2020 research and innovation program [635290-PanCanRisk and OpenRiskNet_731076]; DIUE de la Generalitat de Catalunya [Grups consolidatsSGR 2017/926]; Fondation Jérôme Lejeune (Paris, France), MINECO [SAF2013-49129-C2-1-R;SAF2016-79956-R]; CDTI (‘Smartfoods’) and EU [EraNet Neuron PCIN-2013-060 and JPND AC17/00006]; Catalan foundation ‘La Marato′de TV3’ [2016/20-30]; CIBER of Rare Diseases is an initiative of the ISCIII. Funding for open access charge: CRG institutional core funding.