Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
120
datasets available to search
ShareScore release 0.9.0
Dataset results
120 results for “long-read sequencing”
Metadata for: Environmental adaptations by the intertidal Antarctic cyanobacterium Halotia branconii CENA392 as revealed using long-read genome sequencing
Open the record for dataset details and reuse information.
NanoGalaxy: Nanopore long-read sequencing data analysis in Galaxy
<p>The data presented in "NanoGalaxy: A Galaxy tool kit with workflows for third-generation sequence analysis" to illustrate the functionality of the tools was obtained from: Wick, Ryan R., et al. "Completing bacterial genome assemblies with multiplex MinION sequencing." <em>Microbial genomics</em> 3.10 (2017).</p> <p>+</p> <p>Li, Ruichao, et al. "Efficient generation of complete sequences of MDR-encoding plasmids by rapid assembly of MinION barcoding sequencing data." <em>Gigascience</em> 7.3 (2018): gix132.</p>
Improved contiguity of the threespine stickleback genome using long-read sequencing
<p>While the cost and time for assembling a genome has drastically decreased, it still remains a challenge to assemble a highly contiguous genome. These challenges are rapidly being overcome by the integration of long-read sequencing technologies. Here, we use long-read sequencing to improve the contiguity of the threespine stickleback fish (Gasterosteus aculeatus) genome, a prominent genetic model species. Using Pacific Biosciences sequencing, we assembled a highly contiguous genome of a freshwater fish from Paxton Lake. Using contigs from this genome, we were able to fill over 76% of the gaps in the existing reference genome assembly, improving contiguity over five-fold. Our gap filling approach was highly accurate, validated by 10X Genomics long-distance linked-reads. In addition to closing a majority of gaps, we were able to assemble segments of telomeres and centromeres throughout the genome. This highlights the power of using long sequencing reads to assemble highly repetitive and difficult to assemble regions of genomes. This latest genome build has been released through a newly designed community genome browser that aims to consolidate the growing number of genomics datasets available for the threespine stickleback fish.</p>
Identification of a novel non-coding deletion in Allan-Herndon-Dudley syndrome by long-read HiFi genome sequencing
<p>These are the VCF files of structural variant (SV) calls for two sibling patients (II:2 [GMPB009_1] and II:3 [GMPB009_4]) generated by PacBio HiFi long-read genome sequencing.</p> <p>Sequence reads were processed using the <a href="https://github.com/PacificBiosciences/pb-human-wgs-workflow-snakemake">PacBio Human WGS workflow</a> with the human reference genome (hg38), and SVs were identified using '<a href="https://github.com/PacificBiosciences/svpack">svpack</a>'.</p>
Long-read genome sequencing of bread wheat facilitates disease resistance gene cloning
<p>Cloning agronomically important genes from large, complex crop genomes remains challenging. Here, we generate a 14.7-gigabase chromosome-scale<i> </i>assembly of the South African bread wheat (<i>Triticum aestivum</i>) cultivar Kariega by combining high-fidelity long reads, optical mapping, and chromosome conformation capture. The resulting assembly is an order of magnitude more contiguous than previous wheat assemblies. Kariega shows durable resistance against the devastating fungal stripe rust disease. We identified the race-specific disease resistance gene <i>Yr27</i>, encoding an intracellular immune receptor, as a major contributor to this resistance. <i>Yr27</i> is allelic to the leaf rust resistance gene <i>Lr13,</i> with the Yr27 and Lr13 proteins sharing 97% sequence identity. Our results thus demonstrate the feasibility of generating chromosome-scale wheat assemblies to clone genes and also exemplify that highly similar alleles of a single-copy gene can confer resistance to different pathogens, which might provide a basis for engineering <i>Yr27</i> alleles with multiple recognition specificities in future.</p>
Methods for structural variant detection with long-read sequencing data
<p>SV calls from different long-read based SV callers on sequencing data. SV results evaluated in Methods for structural variant detection with long-read sequencing data.</p> <p>NA24385_Pacbio_HiFi -> HiFi_L1 in paper</p> <p>NA24385_Pacbio_MtSinai -> CLR_L1 in paper</p> <p>NA24385_Pacbio_CLR_SRX7668835 -> CLR_L2 in paper</p> <p>NA24385_Pacbio_CLR_SRX6719924 -> CLR_L3 in paper</p> <p>NA24385_ONT_Promethion -> Nano_L1 in paper</p>
Data from: Haplotype sequence collection of ABO blood group alleles by long-read sequencing reveals putative A1-diagnostic variants
<p>In the era of blood group genomics, reference collections of complete and fully-resolved blood group gene alleles have gained high importance. For most blood groups, however, such collections are currently lacking, as resolving full-length gene sequences as haplotypes (i.e. separated maternal/paternal origin) remains exceedingly difficult with both Sanger and short-read next-generation sequencing. Using the latest third-generation long-read sequencing, we generated a collection of fully-resolved sequences for all six main <em>ABO</em> allele groups: <em>ABO</em>*<em>A1</em>/<em>A2</em>/<em>B</em>/<em>O.01.01</em>/<em>O.01.02</em>/<em>O.02</em>. We selected 77 samples from an <em>ABO</em> genotype dataset (n=25,200) of serologically-typed Swiss blood donors. The entire <em>ABO</em> gene was amplified in two overlapping long-range PCRs (covering ~23.6 kb) and sequenced by long-read Oxford Nanopore sequencing. For quality validation, two samples per <em>ABO</em> group were re-sequenced using Illumina and PacBio technology. All 154 full-length <em>ABO</em> sequences were resolved as haplotypes. We observed novel, distinct sequence patterns for each <em>ABO</em> group. Most genetic diversity was found between, not within, <em>ABO</em> groups. Phylogenetic tree and haplotype network analyses highlighted distinct clades of each <em>ABO</em> group. Strikingly, our data uncovered four genetic variants putatively specific for <em>ABO</em>*<em>A1</em>, for which direct diagnostic targets are currently lacking. We validated <em>A1</em>-diagnostic potential using whole-genome data (n=4,872) of a multi-ethnic cohort. Overall, our sequencing strategy proved powerful for producing high-quality <em>ABO</em> haplotypes and holds promise for generating similar collections for other blood groups. The publicly available collection of 154 haplotypes will serve as a valuable resource for molecular analyses of <em>ABO</em>, as well as studies about the function and evolutionary history of <em>ABO</em>.</p>
Comprehensive Structural Variant Benchmark Dataset: 1100 VCF files from long-read sequencing of 10 NCBI individuals
<p>We initially collected 10 NCBI individuals: HG002 family pedigree data (HG002 [son], HG003 [father], HG004 [mother]), the HG005 family pedigree data (HG005 [son], HG006 [father], HG007 [mother]), the NA12878 subject, the HG00096 subject, the HG00512 subject and the CHM13 subject. Then we used PacBio (CLR: Continuous Long Read, CCS: Circular Consensus Sequencing) and Nanopore (ONT) platforms, 5 aligners and 10 callers to construct the pipelines, with most parameters set to default values. After that, except for 6 invalid pipelines(pbmm2-Nanovar, lra-Picky, lra-delly, lra-NanoVar, lra-NanoSV, lra-pbsv), we obtain 1100 VCF files.</p>
Data from: Structural variation and its potential impact on genome instability: novel discoveries in the EGFR landscape by long-read sequencing
<p>Studies of structural variation (SV) have been challenging due to technological contraints. With the advent of third generation (long-read) sequencing technology, exploration of longer stretches of DNA not easily examined previously has been made possible. In the present study, we utilized third generation (long-read) sequencing techniques to examime SV in the <em>EGFR </em>landscape of four haplotypes derived from two human samples. We analyzed the <em>EGFR</em> gene and its landscape (+/- 500,000 base pairs) using this sequencing approach and were able to identify regions of non-coding DNA which had relatively high similarity to the most common activating <em>EGFR</em> mutation in non-small cell lung cancer. We discovered that reverse complements to the exon 19 deletion mutation which had at least 60% homology to the <em>EGFR</em> exon 19 canonical deletion and were within ± 421,000 bp of the deletion varied across the five haploid genomes examined (4 patient landscapes and hg38). Although the sample size is limited in this study, the estimated variation observed in genomic stability between the five <em>EGFR</em> haplotypes examined is novel and encourages further work to examine structural variation in larger cohorts.</p>
Long-read genome sequencing accelerated the cloning of Pm69 by resolving the complexity of a rapidly evolving resistance gene cluster in wheat
<p>Oxford Nanopore assembly of <em>Triticum turgidum</em> ssp. <em>dicoccoides, </em>cv. G305-3M.</p>
The data used in correspondence on the article entitled "Reply: Correspondence on NanoVar's performance outlined by Jiang T. et al. in 'Long-read sequencing settings for efficient structural variation detection based on comprehensive evaluation'."
<p>The data used in correspondence on the article entitled “Reply: Correspondence on NanoVar’s performance outlined by Jiang T. et al. in ‘Long-read sequencing settings for efficient structural variation detection based on comprehensive evaluation’.”. It contains the benchmarking results evaluated by Truvari. The running log files of NanoVar are also included in this repository.</p>
Purification of High Molecular Weight DNA for Long-Read Sequencing Using a High-Salt Gel Electroelution Trap
<p><strong>Figure 3. Yield and purity of HMW DNA obtained from difficult samples using the method proposed in this study</strong>.</p> <p>(A) The proposed method extracts more HMW DNA from a complex soil sample than a commercial column purification kit. Shown is a negative image of an ethidium bromide-stained agarose gel. Lane 1: 1/10 aliquot of ~90 ng of HMW DNA isolated using the E.Z.N.A. soil DNA extraction kit from a soil sample containing ~1,5 μg of total DNA (HMW DNA yield around 6%). Lane 2: ~100 ng of CTAB-extracted DNA from the same soil sample. ~10 μg of this crude DNA preparation was used as input for HMW DNA purification using the proposed method. Lane 3: 1/100 aliquot of ~3 μg of HMW DNA isolated using the proposed method from ~10 μg of the CTAB-extracted DNA (HMW DNA yield around 30%).</p> <p>(B) The proposed method yields high-purity HMW DNA from a complex plant sample, as determined by agarose gel electrophoresis. Lane 1: molecular weight marker (GeneRuler DNA ladder, Thermo Fisher Scientific). Lane 2: crude nucleic acid preparation extracted with SDS/Proteinase K from <em>Zingeria trichopoda</em> leaves, which served as an input for HMW DNA purification using the proposed method. Lane 3: purified HMW DNA. Note the absence of low-molecular-weight nucleic acids and heavy covalent complexes in the purified sample.</p> <p>(C) Same as (B) except that crude, CTAB-extracted DNA from a complex soil sample was used as an input for HMW DNA purification. Note the absence of a continuous smear of fragmented DNA as well as heavy covalent complexes in the purified sample (lane 3). Molecular weight marker sizes are indicated in base pairs to the left of each panel.</p>
Tradeoffs in alignment and assembly-based methods for structural variant detection with long-read sequencing data
<p>Source data for the paper "Tradeoffs in alignment and assembly-based methods for structural variant detection with long-read sequencing data"</p>
Data from: Structural variation and its potential impact on genome instability: novel discoveries in the EGFR landscape by long-read sequencing
Open the record for dataset details and reuse information.
Long-read genome sequencing of bread wheat facilitates disease resistance gene cloning
Open the record for dataset details and reuse information.
Data from: Haplotype sequence collection of ABO blood group alleles by long-read sequencing reveals putative A1-diagnostic variants
Open the record for dataset details and reuse information.
Improved contiguity of the threespine stickleback genome using long-read sequencing
Open the record for dataset details and reuse information.
Healthy and cancer individuals from Long-read sequencing reveals aberrant fragmentation patterns and origins of circulating DNA in cancer
<p>Oxford Nanopore sequencing data from 61 samples described in manuscript "Long-read sequencing reveals aberrant fragmentation patterns and origins of circulating DNA in cancer"<br><br></p> <p>All data are aligned to UCSC analysisSet hg38 (https://hgdownload.soe.ucsc.edu/goldenPath/hg38/bigZips/analysisSet/), and use 0-based coordinates.</p> <p><strong>Level 2:</strong> In order to provide combined fragmentation and methylation information, Biscuit was used to create “epiBED” files (see Methods). epiBED files contain each read on a separate line, with each DNA methylation call on the read. epiBED files can be used for combined methylation/fragmentomic analysis, and are compatible with the CelFiE-ISH software that was used for cell of origin deconvolution.</p> <p>Creation of Biscuit EpiBED files:<br>Biscuit (https://huishenlab.github.io/biscuit/) v. 1.4.1-dev was used with the command “biscuit epiread -M -b 0 -m 0 -a 0 -5 0 -3 0 -y 0.9 -L 1000000 hg38.analysisSet.fa”, where the reference is the same UCSC reference genome used for alignment. Files are available in the Zenodo repository listed in Data Availability.</p> <p><strong>Level 3</strong>: DNA methylation BED files. BED files created by modkit (see Methods) provide one line for each CpG covered, and can be used for basic DNA methylation analysis.<br><br>Creation of modkit BED files:<br>BED files were created using modkit (https://github.com/nanoporetech/modkit) v. 0.1.5 with the command “modkit pileup --cpg --combine-strands --ignore h --filter-threshold 0.9 --bedgraph". </p> <p> </p>
Seq2scFv: a toolkit for the comprehensive analysis of display libraries from long-read sequencing platforms
<p>Annotation of full-length scFvs sequenced with PacBio using Seq2scFv (https://github.com/ngs-ai-org/seq2scfv). </p> <p>Raw files were obtained from publicly available dataset generated by Nannini and colleagues in "Combining phage display with SMRTbell next-generation sequencing for the rapid discovery of functional scFv fragments." <em>MAbs</em>. Vol. 13. No. 1. Taylor & Francis, 2021.</p> <p>The results of the annotation are organized in directories. These correspond to the different steps of the tutorial presented in the Seq2scFv repository. </p> <p>├── 1.Preprocessed<br>├── 2.Catalogued<br>├── 3.vscan<br>├── 4.scFv_split<br>├── 5.Linkers<br>├── 6.Flags<br>├── 7.Counts<br>└── focus_libs.txt</p> <p>This entry also contains the code provided in the GitHub repository.</p>
Utilizing Long-read Sequencing to Investigate the EGFR Landscape of EGFR Positive Lung Cancer Patients
ClinicalTrials.gov study NCT06659458. IPD Sharing: YES. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.