EuMicroSatdb: A Database for Microsatellites in Eukaryotic Genomes
Author Information
Author(s): Aishwarya Veenu, Grover Atul, Sharma Prakash C
Primary Institution: University School of Biotechnology, Guru Gobind Singh Indraprastha University, Delhi, India
Hypothesis
The study aims to create a comprehensive database for easy retrieval of microsatellite information from sequenced eukaryotic genomes.
Conclusion
The database allows easy systematic retrieval of comprehensive information about microsatellites across 31 sequenced eukaryotic genomes.
Supporting Evidence
- The database includes over 10 million entries of microsatellites.
- Users can search for perfect and compound microsatellites using various parameters.
- 200 bp upstream and downstream sequences are provided for primer design.
Takeaway
This study created a database that helps scientists find specific DNA sequences called microsatellites in many different organisms.
Methodology
The database was developed using whole genome sequences, filtering and restructuring data with algorithms, and creating a user-friendly web interface for data retrieval.
Limitations
Existing microsatellite databases are either very specific or have limited utility, and the database will need regular updates as new genomes are sequenced.
Digital Object Identifier (DOI)
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