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BlaSTorage: a fast package to parse, manage and store BLAST results
Massimiliano Orsini1, Simone Carcangiu
1CRS4, Bioinformatics Group, Loc Pixina Manna, Pula 09010, ITALY. orsini@crs4.it.
BlaSTorage is a new Python package that efficiently parses large BLAST results, retaining all data and providing easy access. This tool enhances sequence analysis by offering a comprehensive object-database format for complex biological data.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- Large-scale sequence analysis generates substantial data requiring efficient parsing.
- Existing BLAST parsers often lack features like complete data retention and logical operation capabilities.
Purpose of the Study:
- To develop a robust Python package for parsing multi-BLAST results.
- To address limitations of current BLAST parsers by preserving all raw output information.
Main Methods:
- Implementation of BlaSTorage, a Python package.
- Development of an object-database format for storing BLAST results.
- Creation of a comprehensive API for data access.
Main Results:
- BlaSTorage retains all information from raw BLAST output, including alignments.
- The package provides direct access to individual results and supports logical operations.
- Comparable parsing speed to parsers written in compiled languages like C++.
Conclusions:
- BlaSTorage offers a powerful solution for managing and analyzing large-scale BLAST data.
- The package is suitable for integration into web applications and bioinformatics software pipelines.
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