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2DDB – a bioinforma...
2DDB – a bioinformatics solution for analysis of quantitative proteomics data
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- Malmström, Lars (författare)
- Lund University,Lunds universitet,Avdelningen för Biomedicinsk teknik,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH
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- Marko-Varga, György (författare)
- Lund University,Lunds universitet,Avdelningen för Biomedicinsk teknik,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,Centrum för analys och syntes,Kemiska institutionen,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH,Centre for Analysis and Synthesis,Department of Chemistry,Faculty of Engineering, LTH
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- Westergren-Thorsson, Gunilla (författare)
- Lund University,Lunds universitet,Lungbiologi,Forskargrupper vid Lunds universitet,Lung Biology,Lund University Research Groups
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- Laurell, Thomas (författare)
- Lund University,Lunds universitet,Avdelningen för Biomedicinsk teknik,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH
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- Malmström, Johan (författare)
- Lund University,Lunds universitet,Lungbiologi,Forskargrupper vid Lunds universitet,Lung Biology,Lund University Research Groups
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(creator_code:org_t)
- 2006-03-20
- 2006
- Engelska.
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Ingår i: BMC Bioinformatics. - : Springer Science and Business Media LLC. - 1471-2105. ; 7:158
- Relaterad länk:
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http://www.biomedcen... (free)
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http://dx.doi.org/10... (free)
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https://bmcbioinform...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Background We present 2DDB, a bioinformatics solution for storage, integration and analysis of quantitative proteomics data. As the data complexity and the rate with which it is produced increases in the proteomics field, the need for flexible analysis software increases. Results 2DDB is based on a core data model describing fundamentals such as experiment description and identified proteins. The extended data models are built on top of the core data model to capture more specific aspects of the data. A number of public databases and bioinformatical tools have been integrated giving the user access to large amounts of relevant data. A statistical and graphical package, R, is used for statistical and graphical analysis. The current implementation handles quantitative data from 2D gel electrophoresis and multidimensional liquid chromatography/mass spectrometry experiments. Conclusion The software has successfully been employed in a number of projects ranging from quantitative liquid-chromatography-mass spectrometry based analysis of transforming growth factor-beta stimulated fi-broblasts to 2D gel electrophoresis/mass spectrometry analysis of biopsies from human cervix. The software is available for download at SourceForge.
Ämnesord
- NATURVETENSKAP -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)
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