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      The genome sequence of the large yellow underwing, Noctua pronuba (Linnaeus, 1758)

      data-paper
      1 , 2 , University of Oxford and Wytham Woods Genome Acquisition Lab, Darwin Tree of Life Barcoding collective, Wellcome Sanger Institute Tree of Life programme, Wellcome Sanger Institute Scientific Operations: DNA Pipelines collective, Tree of Life Core Informatics collective, Darwin Tree of Life Consortium a ,
      Wellcome Open Research
      F1000 Research Limited
      Noctua pronuba, large yellow underwing, genome sequence, chromosomal, Lepidoptera

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          Abstract

          We present a genome assembly from an individual female Noctua pronuba (the large yellow underwing; Arthropoda; Insecta; Lepidoptera; Noctuidae). The genome sequence is 529 megabases in span. The complete assembly is scaffolded into 32 chromosomal pseudomolecules, with the W and Z sex chromosome assembled. The mitochondrial genome was also assembled and is 15.3 kilobases in length.

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          Most cited references18

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          A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping.

          We use in situ Hi-C to probe the 3D architecture of genomes, constructing haploid and diploid maps of nine cell types. The densest, in human lymphoblastoid cells, contains 4.9 billion contacts, achieving 1 kb resolution. We find that genomes are partitioned into contact domains (median length, 185 kb), which are associated with distinct patterns of histone marks and segregate into six subcompartments. We identify ∼10,000 loops. These loops frequently link promoters and enhancers, correlate with gene activation, and show conservation across cell types and species. Loop anchors typically occur at domain boundaries and bind CTCF. CTCF sites at loop anchors occur predominantly (>90%) in a convergent orientation, with the asymmetric motifs "facing" one another. The inactive X chromosome splits into two massive domains and contains large loops anchored at CTCF-binding repeats. Copyright © 2014 Elsevier Inc. All rights reserved.
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            BUSCO Update: Novel and Streamlined Workflows along with Broader and Deeper Phylogenetic Coverage for Scoring of Eukaryotic, Prokaryotic, and Viral Genomes

            Methods for evaluating the quality of genomic and metagenomic data are essential to aid genome assembly procedures and to correctly interpret the results of subsequent analyses. BUSCO estimates the completeness and redundancy of processed genomic data based on universal single-copy orthologs. Here, we present new functionalities and major improvements of the BUSCO software, as well as the renewal and expansion of the underlying data sets in sync with the OrthoDB v10 release. Among the major novelties, BUSCO now enables phylogenetic placement of the input sequence to automatically select the most appropriate BUSCO data set for the assessment, allowing the analysis of metagenome-assembled genomes of unknown origin. A newly introduced genome workflow increases the efficiency and runtimes especially on large eukaryotic genomes. BUSCO is the only tool capable of assessing both eukaryotic and prokaryotic species, and can be applied to various data types, from genome assemblies and metagenomic bins, to transcriptomes and gene sets.
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              Identifying and removing haplotypic duplication in primary genome assemblies

              Abstract Motivation Rapid development in long-read sequencing and scaffolding technologies is accelerating the production of reference-quality assemblies for large eukaryotic genomes. However, haplotype divergence in regions of high heterozygosity often results in assemblers creating two copies rather than one copy of a region, leading to breaks in contiguity and compromising downstream steps such as gene annotation. Several tools have been developed to resolve this problem. However, they either focus only on removing contained duplicate regions, also known as haplotigs, or fail to use all the relevant information and hence make errors. Results Here we present a novel tool, purge_dups, that uses sequence similarity and read depth to automatically identify and remove both haplotigs and heterozygous overlaps. In comparison with current tools, we demonstrate that purge_dups can reduce heterozygous duplication and increase assembly continuity while maintaining completeness of the primary assembly. Moreover, purge_dups is fully automatic and can easily be integrated into assembly pipelines. Availability and implementation The source code is written in C and is available at https://github.com/dfguan/purge_dups. Supplementary information Supplementary data are available at Bioinformatics online.

                Author and article information

                Contributors
                Role: InvestigationRole: Resources
                Role: SupervisionRole: Writing – Original Draft PreparationRole: Writing – Review & Editing
                Journal
                Wellcome Open Res
                Wellcome Open Res
                Wellcome Open Research
                F1000 Research Limited (London, UK )
                2398-502X
                1 April 2022
                2022
                : 7
                : 119
                Affiliations
                [1 ]UK Centre for Ecology and Hydrology, Wallingford, Oxfordshire, UK
                [2 ]Department of Zoology, University of Oxford, Oxford, UK
                [1 ]Laboratory of Genetics, Wageningen University & Research, Wageningen, The Netherlands
                [1 ]Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada
                Author notes

                +Deceased author

                No competing interests were disclosed.

                Competing interests: No competing interests were disclosed.

                Competing interests: No competing interests were disclosed.

                Author information
                https://orcid.org/0000-0003-1533-9376
                Article
                10.12688/wellcomeopenres.17747.1
                9975414
                36874564
                b6c91681-9408-4575-b0eb-efff09a80022
                Copyright: © 2022 Boyes D et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 28 February 2022
                Funding
                Funded by: Wellcome Trust
                Award ID: 206194
                Funded by: Wellcome Trust
                Award ID: 218328
                This work was supported by Wellcome through core funding to the Wellcome Sanger Institute (206194) and the Darwin Tree of Life Discretionary Award (218328).
                The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Data Note
                Articles

                noctua pronuba,large yellow underwing,genome sequence,chromosomal,lepidoptera

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