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FastAlert--an automatic search system to alert about new entries in biological sequence databanks
F Eggenberger1, N Redaschi, R Doelz
1Basel University, Biozentrum, Switzerland. florian.eggenberger@ubs.ch
Summary
Researchers can now stay updated on new biological sequence databank entries using FastAlert. This system automates FASTA searches, delivering timely reports via email to track sequence information efficiently.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- Biological sequence databanks are growing rapidly.
- Researchers need efficient methods to monitor new entries.
- Manual FASTA searches are time-consuming and burdensome.
Purpose of the Study:
- To introduce FastAlert, a novel tool for monitoring new sequence databank entries.
- To automate the process of keeping researchers informed about relevant sequence data.
- To reduce the manual effort required for sequence database surveillance.
Main Methods:
- The FastAlert system allows users to submit query sequences online.
- Registered sequences are periodically scanned against updated databanks.
- Results are delivered via email as FastAlert reports.
Main Results:
- FastAlert provides automated awareness of new, relevant sequence databank entries.
- Reports include FASTA best-scores and similarity statistics.
- The system relieves researchers from repetitive manual searching.
Conclusions:
- FastAlert offers an efficient solution for staying current with biological sequence data.
- The tool enhances research productivity by automating database monitoring.
- Timely delivery of sequence similarity information aids scientific discovery.