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      Metagenome-Assembled Genomes from Photo-Oxidized and Nonoxidized Oil-Degrading Marine Microcosms

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          ABSTRACT

          We performed deep metagenomic sequencing on hydrocarbon-degrading marine microcosms designed to experimentally determine the effect of photo-oxidation on oil biodegradation dynamics. Assembly, binning, and dereplication yielded 73 unique metagenome-assembled genomes (MAGs) from 6 phyla, of which 61 are predicted to be over 90% complete.

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          Most cited references21

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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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            fastp: an ultra-fast all-in-one FASTQ preprocessor

            Abstract Motivation Quality control and preprocessing of FASTQ files are essential to providing clean data for downstream analysis. Traditionally, a different tool is used for each operation, such as quality control, adapter trimming and quality filtering. These tools are often insufficiently fast as most are developed using high-level programming languages (e.g. Python and Java) and provide limited multi-threading support. Reading and loading data multiple times also renders preprocessing slow and I/O inefficient. Results We developed fastp as an ultra-fast FASTQ preprocessor with useful quality control and data-filtering features. It can perform quality control, adapter trimming, quality filtering, per-read quality pruning and many other operations with a single scan of the FASTQ data. This tool is developed in C++ and has multi-threading support. Based on our evaluation, fastp is 2–5 times faster than other FASTQ preprocessing tools such as Trimmomatic or Cutadapt despite performing far more operations than similar tools. Availability and implementation The open-source code and corresponding instructions are available at https://github.com/OpenGene/fastp.
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              MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph.

              MEGAHIT is a NGS de novo assembler for assembling large and complex metagenomics data in a time- and cost-efficient manner. It finished assembling a soil metagenomics dataset with 252 Gbps in 44.1 and 99.6 h on a single computing node with and without a graphics processing unit, respectively. MEGAHIT assembles the data as a whole, i.e. no pre-processing like partitioning and normalization was needed. When compared with previous methods on assembling the soil data, MEGAHIT generated a three-time larger assembly, with longer contig N50 and average contig length; furthermore, 55.8% of the reads were aligned to the assembly, giving a fourfold improvement. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                Microbiol Resour Announc
                Microbiol Resour Announc
                mra
                Microbiology Resource Announcements
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2576-098X
                10 May 2023
                June 2023
                10 May 2023
                : 12
                : 6
                : e00210-23
                Affiliations
                [a ] Department of Biological Sciences, University of Southern California, Los Angeles, California, USA
                [b ] Department of Civil and Environmental Engineering, University of Southern California, Los Angeles, California, USA
                [c ] Department of Biology, Marine Biology, and Environmental Science, Roger Williams University, Bristol, Rhode Island, USA
                [d ] Bigelow Laboratory for Ocean Sciences, East Boothbay, Maine, USA
                Montana State University
                Author notes

                Raven C. Althouse, Bianca F. Costa, Boyan Hu, Maxim Kovalev, Timur Kulik, Yu-Tung Lee, Meredith C. Moore, Emily Peng, Jing Yao Pook, Akshita Sharma, and Celia Wood contributed equally to the work and are listed in alphabetical order by last name.

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0003-4085-7730
                https://orcid.org/0000-0003-0896-9986
                Article
                00210-23 mra.00210-23
                10.1128/mra.00210-23
                10281115
                37162353
                5b546432-06d6-40c8-9556-485e8c9b68c9
                Copyright © 2023 Barnes et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 15 March 2023
                : 24 April 2023
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 22, Pages: 3, Words: 1617
                Funding
                Funded by: National Academies of Sciences, Engineering, and Medicine (NASEM), FundRef https://doi.org/10.13039/100009643;
                Award ID: Gulf Research Program Early Career Fellowship
                Award Recipient :
                Funded by: National Academies of Sciences, Engineering, and Medicine (NASEM), FundRef https://doi.org/10.13039/100009643;
                Award ID: Gulf Research Program Early Career Fellowship
                Award Recipient :
                Categories
                Genome Sequences
                environmental-microbiology, Environmental Microbiology
                Custom metadata
                June 2023

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