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      Enrichment of Viral Nucleic Acids by Solution Hybrid Selection with Genus Specific Oligonucleotides

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          Abstract

          Despite recent advances, our knowledge of potential and rare human pathogens is far from exhaustive. Current molecular diagnostic tools mainly rely on the specific amplification of marker sequences and may overlook infections caused by unknown and rare pathogens. Using high-throughput sequencing (HTS) can solve this problem; but, due to the extremely low fraction of pathogen genetic material in clinical samples, its application is only cost-effective in special, rather than routine, cases. In this study, we present a method for the semi-specific enrichment of viral conservative sequences in a HTS library by hybridization in solution with genus-specific degenerate biotinylated oligonucleotides. Nucleic acids of the test viruses (yellow fever virus and Japanese encephalitis virus) were enriched by solution hybrid selection using pan-flavivirus oligonucleotides. Moreover, enterovirus (family: Picornaviridae, genus: Enterovirus) sequences were successfully enriched using foot-and-mouth disease virus (family: Picornaviridae, genus: Aphthovirus) oligonucleotide. The enrichment factor relative to the background nucleic acid was about 1,000-fold. As hybridization has less stringent oligonucleotide match requirements than PCR, few oligonucleotides are sufficient to cover the potential sequence variation in the whole genus and may even enrich nucleic acids of viruses of other related genera. Efficient enrichment of viral sequences makes its use in diagnostics cost-efficient.

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            The Sequence Alignment/Map format and SAMtools

            Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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              Fast gapped-read alignment with Bowtie 2.

              As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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                Author and article information

                Contributors
                andreideviatkin@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                29 August 2017
                29 August 2017
                2017
                : 7
                : 9752
                Affiliations
                [1 ]ISNI 0000 0001 2192 9124, GRID grid.4886.2, , Chumakov Federal Scientific Center for Research and Development of Immune and Biological Products of Russian Academy of Sciences, ; Moscow, Russian Federation
                [2 ]Research Institute of Occupational Health, Moscow, Russian Federation
                [3 ]ISNI 0000 0001 2288 8774, GRID grid.448878.f, Institute of Molecular Medicine, , Sechenov First Moscow State Medical University, ; Moscow, Russia
                [4 ]GRID grid.417752.2, , Federal Budget Institute of Science Central Research Institute for Epidemiology, ; Moscow, Russian Federation
                Author information
                http://orcid.org/0000-0003-0789-4601
                Article
                10342
                10.1038/s41598-017-10342-w
                5575070
                28852181
                0129acb2-4368-403b-96f4-8ffa495b0d83
                © The Author(s) 2017

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 3 May 2017
                : 8 August 2017
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