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L1000 Viewer: A Search Engine and Web Interface for the LINCS Data Repository
Aliyu Musa1,2, Shailesh Tripathi1,3, Matthias Dehmer3,4,5
1Predictive Society and Data Analytics Lab, Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland.
The L1000 Viewer simplifies access to the vast LINCS L1000 gene expression dataset. This new tool enables researchers to easily explore drug and small molecule perturbation profiles for drug discovery workflows.
Area of Science:
- Pharmacology
- Bioinformatics
- Genomics
Background:
- The LINCS L1000 dataset contains millions of gene expression profiles for drugs and small molecules.
- Data complexity and lack of interoperable interfaces hinder the creation of pharmacologically meaningful workflows.
Purpose of the Study:
- To develop an accessible search engine and graphical web interface for the LINCS L1000 data repository.
- To overcome limitations in data accessibility and enable the creation of drug discovery workflows.
Main Methods:
- Created a database by inferring and utilizing the dependency graph structure of the data files.
- Developed a web interface for interactive selection of perturbation profiles (cell lines, drugs, dosages, time points).
Main Results:
- The L1000 Viewer provides a user-friendly platform for exploring the LINCS L1000 dataset.
- Enables selection of diverse perturbation profiles for detailed analysis.
Conclusions:
- The L1000 Viewer significantly enhances the usability of the LINCS L1000 data repository.
- Facilitates the development of pharmacologically meaningful workflows for drug discovery and research.
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