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snp-search: simple processing, manipulation and searching of SNPs from high-throughput sequencing
BMC Bioinformatics
|November 20, 2013
Summary
This study introduces snp-search, a tool simplifying bacterial pathogen genome analysis. It efficiently manages single nucleotide polymorphism (SNP) data, making complex genomic information accessible for hypothesis testing.
Area of Science:
- Genomics
- Bioinformatics
- Microbial Pathogenesis
Background:
- Bacterial pathogen genome mapping generates thousands of single nucleotide polymorphisms (SNPs).
- Interpreting large SNP datasets from flat files is complex and challenging.
- A database solution is needed for simplified SNP interrogation and comprehensible output.
Purpose of the Study:
- To present snp-search, a novel tool for managing and analyzing SNP data.
- To facilitate easier manipulation and searching of complex SNP datasets.
- To enable comprehensible output for genomic research.
Main Methods:
- Development of the snp-search tool.
- Creation of a SNP database from Variant Call Format (VCF) files.
- Implementation of query functions for data manipulation and analysis.
Main Results:
- snp-search manages SNP data, enabling conversion to FASTA sequences.
- The tool facilitates phylogenetic tree construction and identification of unique SNPs.
- Contextual SNP information and phenotype associations can be queried.
Conclusions:
- snp-search effectively manages SNP data for bacterial pathogen genome analysis.
- The tool provides useful outputs for testing significant biological hypotheses.
- Facilitates easier interpretation of complex genomic data.
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