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      Complete Genome Sequence of Desulfomicrobium sp. Strain ZS1 from Zodletone Spring in Oklahoma, USA

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          ABSTRACT

          Desulfomicrobium sp. strain ZS1 is an obligate anaerobic, sulfate-reducing member of the Desulfobacterota from Zodletone Spring, an anoxic sulfide-rich spring in southwestern Oklahoma. Its complete genome was sequenced using a combination of Illumina and Oxford Nanopore platforms and encodes 3,364 proteins and 81 RNAs on a single chromosome.

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          Most cited references15

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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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            NCBI prokaryotic genome annotation pipeline

            Recent technological advances have opened unprecedented opportunities for large-scale sequencing and analysis of populations of pathogenic species in disease outbreaks, as well as for large-scale diversity studies aimed at expanding our knowledge across the whole domain of prokaryotes. To meet the challenge of timely interpretation of structure, function and meaning of this vast genetic information, a comprehensive approach to automatic genome annotation is critically needed. In collaboration with Georgia Tech, NCBI has developed a new approach to genome annotation that combines alignment based methods with methods of predicting protein-coding and RNA genes and other functional elements directly from sequence. A new gene finding tool, GeneMarkS+, uses the combined evidence of protein and RNA placement by homology as an initial map of annotation to generate and modify ab initio gene predictions across the whole genome. Thus, the new NCBI's Prokaryotic Genome Annotation Pipeline (PGAP) relies more on sequence similarity when confident comparative data are available, while it relies more on statistical predictions in the absence of external evidence. The pipeline provides a framework for generation and analysis of annotation on the full breadth of prokaryotic taxonomy. For additional information on PGAP see https://www.ncbi.nlm.nih.gov/genome/annotation_prok/ and the NCBI Handbook, https://www.ncbi.nlm.nih.gov/books/NBK174280/.
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              Assembly of long, error-prone reads using repeat graphs

              Accurate genome assembly is hampered by repetitive regions. Although long single molecule sequencing reads are better able to resolve genomic repeats than short-read data, most long-read assembly algorithms do not provide the repeat characterization necessary for producing optimal assemblies. Here, we present Flye, a long-read assembly algorithm that generates arbitrary paths in an unknown repeat graph, called disjointigs, and constructs an accurate repeat graph from these error-riddled disjointigs. We benchmark Flye against five state-of-the-art assemblers and show that it generates better or comparable assemblies, while being an order of magnitude faster. Flye nearly doubled the contiguity of the human genome assembly (as measured by the NGA50 assembly quality metric) compared with existing assemblers.
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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
                13 April 2023
                May 2023
                13 April 2023
                : 12
                : 5
                : e00145-23
                Affiliations
                [a ] Department of Microbiology, University of Tennessee Knoxville, Knoxville, Tennessee, USA
                [b ] Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
                [c ] Department of Microbiology and Molecular Genetics, Oklahoma State University, Stillwater, Oklahoma, USA
                Wellesley College
                Author notes

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0001-9159-3785
                https://orcid.org/0000-0003-2776-0205
                Article
                00145-23 mra.00145-23
                10.1128/mra.00145-23
                10190684
                37052391
                4c1e7a38-429e-4cd0-9496-f00632f637ab
                Copyright © 2023 Mulay et al.

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

                History
                : 25 February 2023
                : 28 March 2023
                Page count
                Figures: 1, Tables: 0, Equations: 0, References: 15, Pages: 3, Words: 1453
                Funding
                Funded by: National Science Foundation (NSF), FundRef https://doi.org/10.13039/100000001;
                Award ID: 2016371
                Award Recipient : Award Recipient :
                Funded by: National Science Foundation (NSF), FundRef https://doi.org/10.13039/100000001;
                Award ID: 2016423
                Award Recipient : Award Recipient : Award Recipient :
                Categories
                Genome Sequences
                environmental-microbiology, Environmental Microbiology
                Custom metadata
                May 2023

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