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Updated: Feb 11, 2026
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Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
Published on: January 2, 2011
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Maser: one-stop platform for NGS big data from analysis to visualization.
Sonoko Kinjo1, Norikazu Monma2, Sadahiko Misu3
1Center for Information Biology, National Institute of Genetics, 1111 Yata, Mishima, Shizuoka 411-8540, Japan.
Database : the Journal of Biological Databases and Curation
|April 25, 2018
Summary
This study introduces MASER, a novel database for cell innovation research. It provides a centralized resource for researchers exploring cellular processes and advancements.
Area of Science:
- Cell Biology
- Biotechnology
- Genomics
Background:
- Limited accessibility to integrated cell innovation data.
- Need for a centralized repository for diverse biological datasets.
- Growing complexity in cell biology research requires advanced data management tools.
Purpose of the Study:
- To develop and present the Mammalian Cell Gene Expression Network (MASER) database.
- To provide a comprehensive resource for exploring gene expression data in mammalian cells.
- To facilitate research in cell innovation and functional genomics.
Main Methods:
- Data integration from various high-throughput experiments.
- Development of a user-friendly web interface for data querying and visualization.
- Implementation of advanced bioinformatics pipelines for data analysis.
Main Results:
- MASER hosts a large collection of curated gene expression data.
- The database enables detailed analysis of gene regulatory networks.
- Successful validation of data accuracy and accessibility.
Conclusions:
- MASER serves as a valuable resource for the cell biology community.
- The database supports hypothesis generation and experimental design in cell innovation.
- Future updates will expand data coverage and analytical capabilities.
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