caa a22 4500 528784765 20200420031350.0 cr unu---uuuuu 180924e201112 xx s 000 0 eng 10.3929/ethz-b-000041687 doi 10.1186/1471-2105-12-468 doi (ETHRESEARCH)oai:www.research-collection.ethz.ch:20.500.11850/41687 openBIS: a flexible framework for managing and analyzing complex data in biology research [Elektronische Daten] [Angela Bauch, Izabela Adamczyk, Piotr Buczek, Franz-Josef Elmer, Kaloyan Enimanev, Manuel Kohler, Tomasz Pylak, Andreas Quandt, Chandrasekhar Ramakrishnan, Christian Beisel, Lars Malmström, Ruedi Aebersold, Bernd Rinn] Open access ethresearch Background Modern data generation techniques used in distributed systems biology research projects often create datasets of enormous size and diversity. We argue that in order to overcome the challenge of managing those large quantitative datasets and maximise the biological information extracted from them, a sound information system is required. Ease of integration with data analysis pipelines and other computational tools is a key requirement for it. Results We have developed openBIS, an open source software framework for constructing user-friendly, scalable and powerful information systems for data and metadata acquired in biological experiments. openBIS enables users to collect, integrate, share, publish data and to connect to data processing pipelines. This framework can be extended and has been customized for different data types acquired by a range of technologies. Conclusions openBIS is currently being used by several SystemsX.ch and EU projects applying mass spectrometric measurements of metabolites and proteins, High Content Screening, or Next Generation Sequencing technologies. The attributes that make it interesting to a large research community involved in systems biology projects include versatility, simplicity in deployment, scalability to very large data, flexibility to handle any biological data type and extensibility to the needs of any research domain. Creative Commons Attribution 2.0 Generic http://creativecommons.org/licenses/by/2.0 ethresearch File System ethresearch Data Space ethresearch Application Server ethresearch Bulk Data ethresearch Metadata File ethresearch Bauch Angela joint author Adamczyk Izabela joint author Buczek Piotr joint author Elmer Franz-Josef joint author Enimanev Kaloyan joint author Kohler Manuel joint author Pylak Tomasz joint author Quandt Andreas joint author Ramakrishnan Chandrasekhar joint author Beisel Christian joint author Malmström Lars joint author Aebersold Ruedi joint author Rinn Bernd joint author BMC Bioinformatics London : BioMed Central 12, p. 468 1471-2105 http://hdl.handle.net/20.500.11850/41687 text/html WWW-Backlink auf das Repository (Open access) 1 Journal Article ethresearch ETHRESEARCH 856 40 http://hdl.handle.net/20.500.11850/41687 text/html WWW-Backlink auf das Repository (Open access) ETHRESEARCH 700 1- Bauch Angela joint author ETHRESEARCH 700 1- Adamczyk Izabela joint author ETHRESEARCH 700 1- Buczek Piotr joint author ETHRESEARCH 700 1- Elmer Franz-Josef joint author ETHRESEARCH 700 1- Enimanev Kaloyan joint author ETHRESEARCH 700 1- Kohler Manuel joint author ETHRESEARCH 700 1- Pylak Tomasz joint author ETHRESEARCH 700 1- Quandt Andreas joint author ETHRESEARCH 700 1- Ramakrishnan Chandrasekhar joint author ETHRESEARCH 700 1- Beisel Christian joint author ETHRESEARCH 700 1- Malmström Lars joint author ETHRESEARCH 700 1- Aebersold Ruedi joint author ETHRESEARCH 700 1- Rinn Bernd joint author ETHRESEARCH 773 0- BMC Bioinformatics London : BioMed Central 12, p. 468 1471-2105 BK010053 XK010053 XK010000 ETHRESEARCH ETHRESEARCH ETHRESEARCH Journal Article Open access