title: Fast and sensitive alignment of microbial whole genome sequencing reads to large sequence datasets on a desktop PC: application to metagenomic datasets and pathogen identification.
abstract: Next generation sequencing (NGS) of metagenomic samples is becoming a standard approach to detect individual species or pathogenic strains of microorganisms. Computer programs used in the NGS community have to balance between speed and sensitivity and as a result, species or strain level identification is often inaccurate and low abundance pathogens can sometimes be missed. We have developed Taxoner, an open source, taxon assignment pipeline that includes a fast aligner (e.g. Bowtie2) and a comprehensive DNA sequence database. We tested the program on simulated datasets as well as experimental data from Illumina, IonTorrent, and Roche 454 sequencing platforms. We found that Taxoner performs as well as, and often better than BLAST, but requires two orders of magnitude less running time meaning that it can be run on desktop or laptop computers. Taxoner is slower than the approaches that use small marker databases but is more sensitive due the comprehensive reference database. In addition, it can be easily tuned to specific applications using small tailored databases. When applied to metagenomic datasets, Taxoner can provide a functional summary of the genes mapped and can provide strain level identification. Taxoner is written in C for Linux operating systems. The code and documentation are available for research applications at http://code.google.com/p/taxoner.
authors: Faculty of Information Technology, Pázmány Péter Catholic University, Budapest, Hungary; 2nd Department of Pediatrics, Semmelweis University, Budapest, Hungary.
authors: Lőrinc S
authors: LS
authors: Pongor
authors: Faculty of Information Technology, Pázmány Péter Catholic University, Budapest, Hungary; Protein Structure and Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology, Trieste, Italy.
authors: Roberto
authors: R
authors: Vera
authors: Faculty of Information Technology, Pázmány Péter Catholic University, Budapest, Hungary.
authors: Balázs
authors: B
authors: Ligeti
mesh_terms: D003196:Computer Graphics; D066264:Datasets as Topic; D054892:Metagenome; D064307:Microbiota / Q000235:genetics*; D014584:User-Computer Interface