openBIS: a flexible framework for managing and analyzing complex data in biology research
| LEADER | caa a22 4500 | ||
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| 001 | 528784765 | ||
| 005 | 20200420031350.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 180924e201112 xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.3929/ethz-b-000041687 |2 doi |
| 024 | 7 | 0 | |a 10.1186/1471-2105-12-468 |2 doi |
| 035 | |a (ETHRESEARCH)oai:www.research-collecti.ethz.ch:20.500.11850/41687 | ||
| 245 | 0 | 0 | |a openBIS: a flexible framework for managing and analyzing complex data in biology research |h [Elektronische Daten] |c [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] |
| 506 | |a Open access |2 ethresearch | ||
| 520 | 3 | |a 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. | |
| 540 | |a Creative Commons Attribution 2.0 Generic |u http://creativecommons.org/licenses/by/2.0 |2 ethresearch | ||
| 690 | 7 | |a File System |2 ethresearch | |
| 690 | 7 | |a Data Space |2 ethresearch | |
| 690 | 7 | |a Application Server |2 ethresearch | |
| 690 | 7 | |a Bulk Data |2 ethresearch | |
| 690 | 7 | |a Metadata File |2 ethresearch | |
| 700 | 1 | |a Bauch |D Angela |e joint author | |
| 700 | 1 | |a Adamczyk |D Izabela |e joint author | |
| 700 | 1 | |a Buczek |D Piotr |e joint author | |
| 700 | 1 | |a Elmer |D Franz-Josef |e joint author | |
| 700 | 1 | |a Enimanev |D Kaloyan |e joint author | |
| 700 | 1 | |a Kohler |D Manuel |e joint author | |
| 700 | 1 | |a Pylak |D Tomasz |e joint author | |
| 700 | 1 | |a Quandt |D Andreas |e joint author | |
| 700 | 1 | |a Ramakrishnan |D Chandrasekhar |e joint author | |
| 700 | 1 | |a Beisel |D Christian |e joint author | |
| 700 | 1 | |a Malmström |D Lars |e joint author | |
| 700 | 1 | |a Aebersold |D Ruedi |e joint author | |
| 700 | 1 | |a Rinn |D Bernd |e joint author | |
| 773 | 0 | |t BMC Bioinformatics |d London : BioMed Central |g 12, p. 468 |x 1471-2105 | |
| 856 | 4 | 0 | |u http://hdl.handle.net/20.500.11850/41687 |q text/html |z WWW-Backlink auf das Repository (Open access) |
| 908 | |D 1 |a Journal Article |2 ethresearch | ||
| 950 | |B ETHRESEARCH |P 856 |E 40 |u http://hdl.handle.net/20.500.11850/41687 |q text/html |z WWW-Backlink auf das Repository (Open access) | ||
| 950 | |B ETHRESEARCH |P 700 |E 1- |a Bauch |D Angela |e joint author | ||
| 950 | |B ETHRESEARCH |P 700 |E 1- |a Adamczyk |D Izabela |e joint author | ||
| 950 | |B ETHRESEARCH |P 700 |E 1- |a Buczek |D Piotr |e joint author | ||
| 950 | |B ETHRESEARCH |P 700 |E 1- |a Elmer |D Franz-Josef |e joint author | ||
| 950 | |B ETHRESEARCH |P 700 |E 1- |a Enimanev |D Kaloyan |e joint author | ||
| 950 | |B ETHRESEARCH |P 700 |E 1- |a Kohler |D Manuel |e joint author | ||
| 950 | |B ETHRESEARCH |P 700 |E 1- |a Pylak |D Tomasz |e joint author | ||
| 950 | |B ETHRESEARCH |P 700 |E 1- |a Quandt |D Andreas |e joint author | ||
| 950 | |B ETHRESEARCH |P 700 |E 1- |a Ramakrishnan |D Chandrasekhar |e joint author | ||
| 950 | |B ETHRESEARCH |P 700 |E 1- |a Beisel |D Christian |e joint author | ||
| 950 | |B ETHRESEARCH |P 700 |E 1- |a Malmström |D Lars |e joint author | ||
| 950 | |B ETHRESEARCH |P 700 |E 1- |a Aebersold |D Ruedi |e joint author | ||
| 950 | |B ETHRESEARCH |P 700 |E 1- |a Rinn |D Bernd |e joint author | ||
| 950 | |B ETHRESEARCH |P 773 |E 0- |t BMC Bioinformatics |d London : BioMed Central |g 12, p. 468 |x 1471-2105 | ||
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 949 | |B ETHRESEARCH |F ETHRESEARCH |b ETHRESEARCH |j Journal Article |c Open access | ||