ArticleBMC bioinformatics2006
Development of an open source laboratory information management system for 2-D gel electrophoresis-based proteomics workflow.
Article in BMC bioinformatics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Clinical proteomic biomarkers: relevant issues on study design & technical considerations in biomarker development.Clinical and translational medicine · 2014Article
- Efficient sample tracking with OpenLabFramework.Scientific reports · 2014Article
- Article
- MolabIS--an integrated information system for storing and managing molecular genetics data.BMC bioinformatics · 2011Article
- SIGLa: an adaptable LIMS for multiple laboratories.BMC genomics · 2010Article
- Assembling proteomics data as a prerequisite for the analysis of large scale experiments.Chemistry Central journal · 2009Article
- 2DB: a Proteomics database for storage, analysis, presentation, and retrieval of information from mass spectrometric experiments.BMC bioinformatics · 2008Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn the post-genome era, most research scientists working in the field of proteomics are confronted with difficulties in management of large volumes of data, which they are required to keep in formats suitable for subsequent data mining. Therefore, a well-developed open source laboratory information management system (LIMS) should be available for their proteomics research studies.
resultsWe developed an open source LIMS appropriately customized for 2-D gel electrophoresis-based proteomics workflow. The main features of its design are compactness, flexibility and connectivity to public databases. It supports the handling of data imported from mass spectrometry software and 2-D gel image analysis software. The LIMS is equipped with the same input interface for 2-D gel information as a clickable map on public 2DPAGE databases. The LIMS allows researchers to follow their own experimental procedures by reviewing the illustrations of 2-D gel maps and well layouts on the digestion plates and MS sample plates.
conclusionOur new open source LIMS is now available as a basic model for proteome informatics, and is accessible for further improvement. We hope that many research scientists working in the field of proteomics will evaluate our LIMS and suggest ways in which it can be improved.
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Registered trials
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