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28 results for “long-read assembly”
Metagenome-assembled genomes from Stordalen Mire, Sweden (2019) (MAGs from long-read, short-read, & hybrid assemblies)
<p>METHODS:</p> <p>Soil samples (6 total) were collected at the Stordalen Mire site in 2019 from two depths (1-5 & 20-24 cm below ground) across three habitats (Palsa, Bog, and Fen). DNA was extracted based on the protocol described by <a href="http://dx.doi.org/10.17504/protocols.io.yxmvm244bg3p/v1">Li et al. (2024)</a>. For short reads, libraries were prepared at the Joint Genome Institute (JGI) with the KAPA Hyperprep kit, and sequenced with Illumina NovaSeq 6000. For long reads, libraries were prepared with the SMRTbell Express Template Prep Kit 2.0 (PacBio), then sequenced using PacBio Sequel IIe at JGI. PacBio data was processed at JGI to form filtered CCS (Circular Consensus Sequencing) reads. </p> <p>Assemblies were generated with short-only, long-only, and hybrid read sources: <strong>Short-only</strong> was assembled with <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5411777/">metaSPAdes</a> (v3.15.4) using <a href="https://zenodo.org/records/10806928">Aviary</a> (v0.5.3) with default parameters. <strong>Long-only</strong> was assembled with <a href="https://www.nature.com/articles/s41592-020-00971-x">metaFlye</a> (v2.9-b1768) using <a href="https://zenodo.org/records/10806928">Aviary</a> (v0.5.3) with default parameters. <strong>Hybrid</strong> assembly was performed using <a href="https://zenodo.org/records/10806928">Aviary</a> v0.5.3 with default parameters. This involved a step-down procedure with long-read assembly through <a href="https://www.nature.com/articles/s41592-020-00971-x">metaFlye</a> (v2.9-b1768), followed by short-read polishing by <a href="https://genome.cshlp.org/content/27/5/737">Racon</a> (v1.4.3), <a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0112963">Pilon</a> (v1.24) and then Racon again. Next, reads that didn't map to high-quality metaFlye contigs were hybrid assembled with <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5411777/">SPAdes (--meta option)</a> and binned out with <a href="https://peerj.com/articles/7359/">MetaBAT2</a> (v2.1.5). For each bin, the reads within the bin were hybrid assembled using <a href="https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005595">Unicycler</a> (v0.4.8). The high-coverage metaFlye contigs and Unicycler contigs were then combined to form the assembly fasta file. Genome recovery was performed using <a href="https://zenodo.org/records/10806928">Aviary</a> v0.5.3 with samples chosen for differential abundance binning by <a href="https://zenodo.org/records/10939393">Bin Chicken</a> (v0.4.2) using <a href="https://zenodo.org/records/7130825">SingleM metapackage S3.0.5</a>. This involved initial read mapping through <a href="https://zenodo.org/records/10531254">CoverM</a> (v0.6.1) using <a href="https://academic.oup.com/bioinformatics/article/34/18/3094/4994778">minimap2</a> (v2.18) and binning by <a href="https://peerj.com/articles/1165/">MetaBAT</a>, <a href="https://peerj.com/articles/7359/">MetaBAT2</a> (v2.1.5), <a href="https://www.nature.com/articles/s41587-020-00777-4">VAMB</a> (v3.0.2), <a href="http://doi.org/10.1038/s41467-022-29843-y">SemiBin</a> (v1.3.1), <a href="https://zenodo.org/records/10460259">Rosella</a> (v0.4.2), <a href="https://www.nature.com/articles/nmeth.3103">CONCOCT</a> (v1.1.0) and <a href="https://academic.oup.com/bioinformatics/article/32/4/605/1744462">MaxBin2</a> (v2.2.7). Genomes were analyzed using <a href="https://www.nature.com/articles/s41592-023-01940-w">CheckM2</a> (v1.0.2) and clustered at 95% ANI using <a href="https://zenodo.org/records/10526086">Galah</a> (v0.4.0).</p> <p> </p> <p>FILES:</p> <ul> <li><strong>EMERGE_MAGs_2019_long-short-hybrid.tar.gz</strong> - Archive containing the MAG files (.fna).</li> <li><strong>metadata_MAGs_2019_EMERGE.tsv</strong> - Table containing source sample names and accessions, GTDB classifications, CheckM2 quality information, NCBI GenomeBatch- and MIMAG(6.0)-formatted attributes, and other metadata for the MAGs.</li> </ul> <p> </p> <p>FUNDING:</p> <p>This research is a contribution of the EMERGE Biology Integration Institute (<a href="https://emerge-bii.github.io/">https://emerge-bii.github.io/</a>), funded by the National Science Foundation, Biology Integration Institutes Program, Award # 2022070.</p> <p>This study was also funded by the Genomic Science Program of the United States Department of Energy Office of Biological and Environmental Research, grant #s DE-SC0004632. DE-SC0010580. and DE-SC0016440.</p> <p>We thank the Swedish Polar Research Secretariat and SITES for the support of the work done at the Abisko Scientific Research Station. SITES is supported by the Swedish Research Council's grant 4.3-2021-00164.</p> <p>Data from the Joint Genome Institute (JGI) was collected under BER Support Science Proposal 503530 (DOI: <a href="https://doi.org/10.46936/10.25585/60001148">10.46936/10.25585/60001148</a>), conducted by the U.S. Department of Energy Joint Genome Institute (<a href="https://ror.org/04xm1d337">https://ror.org/04xm1d337</a>), a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.</p>
Metagenomics assemblies and high-quality MAGs for "Long-read metagenomics to retrieve high-quality metagenome-assembled genomes from canine feces"
<p>This dataset includes the different metagenomics assemblies analyzed and its summary (_info.txt file):</p> <p>- <a href="https://zenodo.org/api/files/3a502803-82f7-4b51-ac62-7c1dfcdcb680/100_assembly.fasta">100_assembly.fasta</a> is the Flye 2.7 metagenomics assembly merging HMW and non-HMW datasets</p> <p>- <a href="https://zenodo.org/api/files/3a502803-82f7-4b51-ac62-7c1dfcdcb680/75_assembly.fasta">75_assembly.fasta</a> is the Flye 2.7 metagenomics assembly including 75% of random data of the merged dataset.</p> <p>- <a href="https://zenodo.org/api/files/3a502803-82f7-4b51-ac62-7c1dfcdcb680/50_assembly.fasta">50_assembly.fasta</a> is the Flye 2.7 metagenomics assembly including 50% of random data of the merged dataset.</p> <p>- <a href="https://zenodo.org/api/files/3a502803-82f7-4b51-ac62-7c1dfcdcb680/HMW_assembly.fasta?versionId=749ff6fd-2642-4ad1-971a-7f3404baa595">HMW_assembly.fasta</a> is the Flye 2.7 metagenomics assembly for HMW dataset.</p> <p>Moreover, it also includes the eight frameshift-corrected high-quality MAGs analyzed in the manuscript. </p>
Tandem repeat catalog of the human genome generated from long-read assemblies
<p>Allele sequences of polymorphic loci (VCF) and README for all version 2 (2.0 + 2.1) files</p>
Companion data deposit of manuscript: Evaluating and improving the representation of bacterial contents in long-read metagenome assemblies
<p>This upload contains the metagenome assemblies and their binning results generated & described in the manuscript "Evaluating and improving the representation of bacterial contents in long-read metagenome assemblies" (preprint version: arxiv2210.00098, "Towards complete representation of bacterial contents in metagenomic samples"). </p> <p>Mapping of sample names in the file names and the descriptors used as in the manuscript can be found in table S1, which is available along with the manuscript and also included in the supplementary_tables_and_figures tar archive here.</p>
Polished Assemblies for "GoldPolish-Target: Targeted long-read genome assembly polishing"
<p>GoldPolish-Target is a targeted genome assembly polishing tool that uses long reads. We tested GoldPolish-Target on Oxford Nanopore Technologies datasets with a human cell line (NA24385) and Drosophila melanogaster (fruit fly). Here, we provide the data for the GoldRush baseline (unpolished) assembly and the GoldPolish-Target and medaka polished assemblies of these long-read datasets.</p>
De novo assembly of a long-read Amblyomma americanum genome
<p>Genome assemblies of Amblyomma americanum generated from PacBio HiFi sequencing of 50 individual female ticks. This repository contains the unphased diploid assembly generated by the Flye assembler (Arcadia_Amblyomma_americanum_asm001.fasta). In addition, there are two associated fasta files containing sequences generated by submitting the unphased diploid assembly to separation by the Purge_Dups pipeline (purged pseudo-haploid assembly and haplotig assembly).</p> <p>Flye assembler: https://github.com/fenderglass/Flye</p> <p>Purge_Dups pipeline: https://github.com/dfguan/purge_dups</p> <p>NCBI Bioproject: PRJNA932813</p>
De novo assembly of a long-read Amblyomma americanum genome (NCBI/Genbank deposited genome)
<p>Genome assembly of Amblyomma americanum generated from PacBio HiFi sequencing of 50 individual female ticks. This repository contains the phased pseudo-haploid tick genome generated after assembly using Flye, phasing using Purge_Dups, and clean-up using custom python scripts generated in-house. </p> <p>NCBI Bioproject: PRJNA932813</p>
Long-read, chromosome-scale assembly of Vitis rotundifolia cv. Carlos and its unique resistance to Xylella fastidiosa subsp. fastidiosa.
<p>We assembled and annotated a new, long-read genome assembly for ‘Carlos’, a cultivar of muscadine that exhibits tolerance, to build upon the existing genetic resources available for muscadine. We are awaiting release of the genome through NCBI, so we have made the assembly and annotations available here.</p>
Raw Nanopore data for "Nanopore Long-Read Guided Complete Genome Assembly of Hydrogenophaga intermedia, and Genomic Insights into 4-Aminobenzenesulfonate, p-Aminobenzoic Acid and Hydrogen Metabolism in the Genus Hydrogenophaga"
<p>This is the raw Nanopore dataset (fast5) for Hydrogenophaga intermedia PBC. The gDNA was prepared using the now obsolete SQK-NSK007 kit and sequenced on a MINION R9 Flowcell. </p>
Dataset for "Nanopore-led long-read genome assembly of the Australian yabby, Cherax destructor"
<p>Intermediate_Assemblies.tar.gz: Intermediate genome assemblies e.g. raw wtdbg assembly (CD.raw.fa), polished wtdbg assembly (CD.cns.fa), 1st pilon polished assembly (CDF2_pilon1.fasta), 2nd pilon polished assembly (CDF2_pilon2.fasta) and RNA-scaffolded assembly (CDF2_pilon2_prna.fasta). Folders with run_"assembly name" are BUSCO output for each of the assembly.</p> <p>BRAKER2.tar.gz: BRAKER2 genome annotation output containing the initial set of predicted protein-coding genes as well as training intermediate files.</p> <p>BUSCOv3.tar.gz: BUSCO assessment of publicly available Decapod crustacean genome assemblies</p> <p>Cdes.filtered.codingseq: Filtered set of protein-coding sequences</p> <p>Cdes.filtered.faa: Translation of the filtered protein-coding sequences</p> <p>CDF2.NCBI.fasta.masked.gz: Repeat-masked (softmasked) Cherax destructor genome</p> <p>Cqua_transcriptome.tar.gz: rnaSPAdes output (combined fasta) of all Cherax quadricarinatus transcriptomes and its reduced dataset generated by EvidentialGene. </p> <p>Quast.tar.gz: Quast output of all Decapod crustacean genome assemblies assessed in this study</p> <p>Repeat_Annotation.tar.gz: Repeat annotation (.gff3) based on Cherax destructor-specific de novo repeat library and its summary (.tbl)</p> <p>RepeatLibrary.tar.gz: Cherax destructor-specific de novo repeat library generated by RepeatModeler</p> <p>Wtdbg2_assembly.log: Wtdbg2.5 log file showing exact command used, kmer distribution, memory usage and assembly duration.</p> <p>CAZY_Annotation.tar.gz: dbCAN2 Identification of CAZy in the selected crustacean proteomes as well as list of cellulase-associated GH groups (glycoside hydrolase). </p> <p>Orthofinder.tar.gz: Orthofinder2 output and proteomes of each crustacean used to infer orthologous clustering.</p> <p>GH9_Analysis.tar.gz: Selected GH9-associated protein sequences, amino acid alignment and IQTree output. </p> <p>Cdes_mito.gbf: GenBank file of the annotated complete mitogenome</p> <p>Cdes.filtered.codingseq: Cherax destructor protein-coding genes with homology to other crustacean proteomes based on Orthofinder2 orthologous grouping. </p> <p>Cdes.filtered.faa: Cherax destructor proteins with homology to other crustacean proteomes based on Orthofinder2 orthologous grouping. </p> <p>Cdes.ortholog.list: List of predicted Cherax destructor proteins with homology to other crustacean proteomes based on Orthofinder2 orthologous grouping. </p>
A roadmap to durable BCTV resistance using long-read genome assembly of genetic stock KDH13
<p>PacBio Sequence data associated with genetic stock KDH13.Datasets include genome resources and annotated files associated with the manuscript "Long-read genome assembly of Double Haploid Sugar Beet KDH13 provides roadmap for durable genetic resistance to Beet Curly Top Virus". This includes genome assembly, ordered genome assembly, protein predictions, variant call format files for an F1 hybrid (KDH13xKDH19-17).</p>
Tspe_v1 (Telopea speciosissima) genome supplementary files for: Chromosome-level de novo genome assembly of Telopea speciosissima (New South Wales waratah) using long-reads, linked-reads and Hi-C
<p><i>Telopea speciosissima, </i>the New South Wales waratah, is an Australian endemic woody shrub in the family Proteaceae. Waratahs have great potential as a model clade to better understand processes of speciation, introgression and adaptation, and are significant from a horticultural perspective. Here, we report the first chromosome-level genome for <i>T. speciosissima</i>. Combining Oxford Nanopore long-reads, 10x Genomics Chromium linked-reads and Hi-C data, the assembly spans 823 Mb (scaffold N50 of 69.0 Mb) with 97.8 % of Embryophyta BUSCOs 'Complete'. We present a new method in Diploidocus (<a href="https://github.com/slimsuite/diploidocus">https://github.com/slimsuite/diploidocus</a>) for classifying, curating and QC-filtering scaffolds, which combines read depths, <i>k</i>-mer frequencies and BUSCO predictions. We also present a new tool, DepthSizer (<a href="https://github.com/slimsuite/depthsizer">https://github.com/slimsuite/depthsizer</a>), for genome size estimation from the read depth of single-copy orthologues and estimate the genome size to be approximately 900 Mb. The largest 11 scaffolds contained 94.1 % of the assembly, conforming to the expected number of chromosomes (2<i>n</i> = 22). Genome annotation predicted 40,158<code> </code>protein-coding genes, 351 rRNAs and 728 tRNAs. We investigated <i>CYCLOIDEA </i>(<i>CYC</i>)<i> </i>genes, which have a role in determination of floral symmetry, and confirm the presence of two copies in the genome. Read depth analysis of 180 'Duplicated' BUSCO genes using a new tool, DepthKopy (<a href="https://github.com/slimsuite/depthkopy">https://github.com/slimsuite/depthkopy</a>), suggests almost all are real duplications, increasing confidence in the annotation and highlighting a possible need to revise the BUSCO set for this lineage. The chromosome-level <i>T. speciosissima</i> reference genome (Tspe_v1) provides an important new genomic resource of Proteaceae to support the conservation of flora in Australia and further afield.</p>
Simulated data from: Reference-free assembly of long-read transcriptome sequencing data with RNA-Bloom2
<p><span>Long-read sequencing technologies have improved significantly since their emergence. Their read lengths, potentially spanning entire transcripts, is advantageous for reconstructing transcriptomes. Existing long-read transcriptome assembly methods are primarily reference-based and to date, there is little focus on reference-free transcriptome assembly. We introduce RNA-Bloom2, a reference-free assembly method for long-read transcriptome sequencing data. </span>RNA-Bloom2 is available on GitHub at: <a href="https://github.com/bcgsc/RNA-Bloom">https://github.com/bcgsc/RNA-Bloom</a>.</p> <p><span>We benchmarked the assembly quality and the computational performance of RNA-Bloom2 on simulated data. We prepared two mouse simulated datasets with Trans-NanoSim</span><span> for the cDNA and dRNA sequencing protocols model on experimental ONT data</span><span>. The datasets were simulated </span><span>based on the mouse ENSEMBL annotation for GRCm39.</span><span> To investigate the effect of sequencing depth, we subsampled each dataset to 2, 10, and 18 million reads, resulting in a total of six sets of reads for our benchmarking experiments. Using the simulated data, w</span><span>e showed that the transcriptome assembly quality of RNA-Bloom2 is competitive to those of reference-based methods.</span></p>
Strainy: phasing and assembly of strain haplotypes from long-read metagenome sequencing - Real and mock datasets
<p>This repository contains the reads, assemblies, and references required to replicate the <strong>real and mock</strong> results presented in the paper: https://doi.org/10.1101/2023.01.31.526521</p>
Strainy: phasing and assembly of strain haplotypes from long-read metagenome sequencing - Simulated datasets
<p>This repository contains the reads, assemblies, and references required to replicate the <strong>simulated</strong> results presented in the paper: https://doi.org/10.1101/2023.01.31.526521</p>
Novel canine high-quality metagenome-assembled genomes by long-read metagenomics together with Hi-C proximity ligation
<p>We characterized a canine fecal sample of a healthy dog by combining a long-read metagenomics assembly (Nanopore sequencing) with Hi-C cross-linking data, and further correction of the frameshift errors. We retrieved and characterized 27 HQ MAGs and seven MQ MAGs considering MIMAG criteria.</p> <p>Find in this repository the final Hi-C genomics bins (CanMAG_XX-HiCbin.fa), including both the genome and the extra-chromosomal elements within the bin. </p> <p> </p>
A high-quality, long-read genome assembly of the whitelined sphinx moth (Lepidoptera: Sphingidae: Hyles lineata)
<p><span>The sphinx moth genus <em>Hyles</em> comprises 29 described species inhabiting all continents except Antarctica. The genus diverged relatively recently (40 – 25 mya), arising in the Americas and rapidly establishing a cosmopolitan distribution. The whitelined sphinx moth, <em>Hyles lineata</em>, represents the oldest extant lineage of this group and is one of the most widespread and abundant sphinx moths in North America. <em>Hyles lineata </em>exhibits the large body size and adept flight control characteristic of the sphinx moth family (Sphingidae), but is unique in displaying extreme larval color variation and broad host plant use. These traits, in combination with its broad distribution and high relative abundance within its range, have made <em>H. lineata</em> a strong model organism for studying phenotypic plasticity, plant-herbivore interactions, physiological ecology, and flight control. Despite being one of the most well-studied sphinx moths, little data exists on genetic variation or regulation of gene expression. Here we report a high-quality draft genome showing high contiguity (N50 of 14.2 Mb) and completeness (98.2% of Lepidoptera BUSCO genes), an important first characterization to facilitate such studies. We also annotate the core melanin synthesis pathway genes and confirm that they have high sequence conservation with other moths and are most similar to those of another, well-characterized sphinx moth, the tobacco hornworm (<em>Manduca sexta</em>).</span></p>
metaFlye: scalable long-read metagenome assembly using repeat graphs
<p>Supplementary files for the manuscript titled "metaFlye: scalable long-read metagenome assembly using repeat graphs".</p> <p>The archive includes generated assemblies and the corresponding metaQUAST evaluations.</p>
Tspe_v1 (Telopea speciosissima) genome supplementary files for: Chromosome-level de novo genome assembly of Telopea speciosissima (New South Wales waratah) using long-reads, linked-reads and Hi-C
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A high-quality, long-read genome assembly of the whitelined sphinx moth (Lepidoptera: Sphingidae: Hyles lineata)
Open the record for dataset details and reuse information.
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