Related Experiment Videos
Removing redundancy in SWISS-PROT and TrEMBL
C O'Donovan1, M J Martin, E Glemet
1EMBL Outstation - The European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. odonovan@ebi.ac.uk
Bioinformatics (Oxford, England)
|May 1, 1999
Summary
We developed a strategy to identify and remove redundancy within and between the SWISS-PROT and TrEMBL protein sequence databases. This ensures data integrity and improves the quality of these vital bioinformatics resources.
Area of Science:
- Bioinformatics
- Proteomics
- Database Management
Background:
- SWISS-PROT is a protein sequence database known for minimal redundancy.
- TrEMBL was introduced to enhance SWISS-PROT's comprehensiveness.
- The integration of TrEMBL introduced some redundancy into the combined dataset.
Purpose of the Study:
- To develop a robust strategy for identifying redundancy within and between SWISS-PROT and TrEMBL.
- To implement a method for the effective removal of identified redundant entries.
- To maintain the integrity and quality of protein sequence data.
Main Methods:
- Algorithm development for redundancy detection.
- Comparative analysis of sequence entries across databases.
- Data curation and filtering techniques.
Main Results:
- A novel strategy for identifying sequence redundancy was successfully developed.
- The implemented strategy effectively pinpointed redundant entries within and between SWISS-PROT and TrEMBL.
- A significant reduction in data redundancy was achieved.
Conclusions:
- The developed strategy effectively addresses redundancy in protein sequence databases.
- Minimal redundancy is a key feature of SWISS-PROT, enhanced by TrEMBL.
- The removal of redundancy improves the utility of SWISS-PROT and TrEMBL for research.