E2FM: an encrypted and compressed full-text index for collections of genomic sequences.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 28498928.
- Also identified by DOI 10.1093/bioinformatics/btx313.
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Abstract
Next Generation Sequencing (NGS) platforms and, more generally, high-throughput technologies are giving rise to an exponential growth in the size of nucleotide sequence databases. Moreover, many emerging applications of nucleotide datasets-as those related to personalized medicine-require the compliance with regulations about the storage and processing of sensitive data. We have designed and carefully engineered E 2 FM -index, a new full-text index in minute space which was optimized for compressing and encrypting nucleotide sequence collections in FASTA format and for performing fast pattern-search queries. E 2 FM -index allows to build self-indexes which occupy till to 1/20 of the storage required by the input FASTA file, thus permitting to save about 95% of storage when indexing collections of highly similar sequences; moreover, it can exactly search the built indexes for patterns in times ranging from few milliseconds to a few hundreds milliseconds, depending on pattern length. Source code is available at https://github.com/montecuollo/E2FM . ferdinando.montecuollo@unicampania.it. Supplementary data are available at Bioinformatics online.
Medical subject headings
- Databases, Nucleic Acid
- Genome, Human
- High-Throughput Nucleotide Sequencing
- Software