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120 results for “long-read sequencing”
Long-read sequencing and structural variant characterization in 1,019 samples from the 1000 Genomes Project
SV analysis of the long-read sequencing data of 1,019 samples from the 1000 Genomes Project. The data is hosted at the International Genome Sample Resource (IGSR) in the <a href="https://ftp.1000genomes.ebi.ac.uk/vol1/ftp/data_collections/1KG_ONT_VIENNA/">1KG_ONT_VIENNA</a> directory. Please see the <a href="https://ftp.1000genomes.ebi.ac.uk/vol1/ftp/data_collections/1KG_ONT_VIENNA/README_1KG_ONT_VIENNA.md">README</a> and <a href="https://ftp.1000genomes.ebi.ac.uk/vol1/ftp/data_collections/1KG_ONT_VIENNA/README_1KG_ONT_VIENNA_datareuse_statement.md">data reuse statement</a> for further information about this dataset.
The SV callsets of the HG002 human sample produced by cuteSV with multi long-read sequencing platforms.
<p>The SV callsets of the HG002 human sample produced by cuteSV with multi long-read sequencing platforms.</p>
Long-read sequencing reveals extensive gut phageome structural variations driven by genetic exchange with bacterial hosts
<p><span>Genetic variations are instrumental for unraveling phage evolution and deciphering their functional implications. Here we explore the underlying fine-scale genetic variations in the gut phageome, especially structural variations (SVs). By employing virome-enriched long-read metagenomics sequencing across 91 individuals, we identified a total of 14,438 non-redundant phage SVs, and revealed their prevalence within the human gut phageome. These SVs are mainly enriched in genes involved in recombination, DNA methylation, and antibiotic resistance. Strikingly, a substantial fraction of phage SV sequences share close homology with bacterial fragments, with most SVs enriched for horizontal gene transfer (HGT) mechanism. Further investigations showed that these SV sequences were genetic exchanged between specific phage-bacteria pairs, particularly between phages and their respective bacterial hosts. Temperate phages exhibits a higher frequency of genetic exchange with bacterial chromosomes then virulent phages. Collectively, our findings provide novel insights into the genetic landscape of the human gut phageome.</span></p>
Parent-of-origin detection and chromosome-scale haplotyping using long-read DNA methylation sequencing and Strand-seq
<p>Hundreds of loci in human genomes have alleles that are methylated differentially according to their parent of origin. These imprinted loci generally show little variation across tissues, individuals, and populations. We show that such loci can be used to distinguish the maternal and paternal homologs for all autosomes, without the need for the parental DNA. We integrate methylation-detecting nanopore sequencing with the long-range phase information in Strand-seq data to determine the parent of origin of chromosome-length haplotypes for both DNA sequence and DNA methylation in five trios with diverse genetic backgrounds.</p>
Reconstructing NOD-like receptor alleles with high internal conservation in Podospora anserina using long-read sequencing
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A novel method to assess the integrity of frozen archival DNA samples: Alpha-diversity ratios of short and long-read 16S rRNA gene sequences
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TAGET: A toolkit for analyzing full-length transcripts from long-read sequencing
<p>Polished transcripts of COLO829 from the PacBio platform. The original web link: https://downloads-ap.pacbcloud.com/public/dataset/Melanoma2019_IsoSeq/PolishedMappedTranscripts/before-SQANTI2filter/.</p>
A multiomic characterization of the leukemia cell line REH using short- and long-read sequencing
<p>This is a public repository containing secondary datasets described in the publication <a href="https://doi.org/10.26508/lsa.202302481">"A multiomic characterization of the leukemia cell line REH using short- and long-read sequencing"</a>. Primary data for this project are available at NCBI/SRA under the BioProject accession numbers PRJNA600820 and PRJNA834955, and include the following sequencing datasets:</p> <p>REH cell line:</p> <ul> <li>PacBio WGS</li> <li>ONT Ultralong WGS</li> <li>Illumina short-read PCR-free WGS</li> <li>IsoSeq RNA-seq</li> <li>Illumina short-read RNA-seq</li> </ul> <p>GM12878 cell line:</p> <ul> <li>Illumina short-read RNA-seq</li> </ul> <p>This dataset includes the following files:</p> <p><strong>Depth of Coverage analysis</strong></p> <ul> <li>Output from `samtools coverage`: <em>samtools.coverage.illumina.txt, samtools.coverage.ont.txt, samtools.coverage.pb.txt</em></li> <li>Output from `copycat` (binned coverage): <em>copycat.ont.coverage.10kb.csv, copycat.pb.coverage.10kb.csv, copycat.pcrfree.coverage.10kb.csv</em></li> </ul> <p><strong>Structural Variant (SV) callsets</strong></p> <ul> <li><strong>Raw:</strong> <em>illumina.tiddit.vcf, ont.sniffles.vcf, pb.sniffles.vcf</em></li> <li><strong>Filtered: </strong><em>REH.svs.filtered.csv</em></li> </ul> <p><strong>SNV callsets</strong></p> <ul> <li><strong>Filtered and annotated:</strong> <em>REH.mutect.filtered.ann.vcf.gz</em></li> </ul> <p><strong>Fusion gene callsets</strong></p> <ul> <li><strong>Short-read: </strong><em>GM12878.fusionreport.txt, illumina.all.txt, illumina.filtered.csv, REH.arriba.fusions.tsv, REH.fusioncatcher.fusion-genes.txt, REH.pizzly.txt, REH.squid.fusions.annotated.txt, REH.starfusion.abridged.tsv, REH.pdf</em></li> <li><strong>Long-read: </strong><em>cupcake.long.csv, cupcake.std.csv, jaffa_results.csv</em></li> <li><strong>Filtered: </strong><em>REH.fusions.filtered.csv</em><br> </li> </ul> <p> </p>
Data from: Benchmarking ultra-high molecular weight DNA preservation methods for long-read and long-range sequencing
<p>Studies in vertebrate genomics require sampling from a broad range of tissue types, taxa, and localities. Recent advancements in long-read and long-range genome sequencing have made it possible to produce high-quality chromosome-level genome assemblies for almost any organism. However, adequate tissue preservation for the requisite ultra-high molecular weight DNA (uHMW DNA) remains a major challenge. Here we present a comparative study of preservation methods for field and laboratory tissue sampling, across vertebrate classes and different tissue types. We find that no single method is best for all cases. Instead, the optimal storage and extraction methods vary by taxa, by tissue, and by down-stream application. Therefore, we provide sample preservation guidelines that ensure sufficient DNA integrity and amount required for use with long-read and long-range sequencing technologies across vertebrates. Our best practices generate the uHMW DNA needed for the high-quality reference genomes for Phase 1 of the Vertebrate Genomes Project (VGP), whose ultimate mission is to generate chromosome-level reference genome assemblies of all ~70,000 extant vertebrate species.</p>
Genome-resolved metagenomics using short-, long-read and metaHiC sequencing
<p>Reference-quality metagenome-assembled genomes (MAGs) are the key to exploring microbial compositions and microbe-phenotype associations. They can be recovered by different sequencing technologies and computational tools, which need an unbiased and comprehensive assessment to identify best practices. This work systematically evaluates 40 distinct strategies to recover high-quality MAGs generated by eight assemblers, eight metagenomics binners, and four sequencing technologies, including short-, long-read and metaHiC sequencing. We notice that the hybrid assemblies of short- and long-reads outperform either short- or long-read assemblies and generate more contigs with high contiguity. When the hybrid assemblies are combined with metaHiC-based binning (Hybrid-HiC), more high-quality MAGs with higher taxonomic diversity are recovered, and more tRNA and rRNA genes, phages, plasmids and antibiotic resistance genes are identified in the mock, simulated and real datasets.</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>
Long-read sequencing of diagnosis and post-therapy medulloblastoma reveals complex rearrangement patterns and epigenetic signatures
<p>Imaging data related to the "Long-read sequencing of diagnosis and post-therapy medulloblastoma reveals complex rearrangement patterns and epigenetic signatures" manuscript</p>
Fibertools: fast and accurate m6A calling using single-molecule long-read sequencing (ML data)
<p>Fibertools is a convolutional neural network that permits the fast and accurate identification of endogenous and exogenous N6-methyladenine (m6A)-marked bases using single-molecule long-read sequencing.<strong> </strong>This dataset (ML data) provides training and validation data for training fibertools supervised and semi-supervised CNN models for three long-read chemistries.</p>
Metadata for: Environmental adaptations by the intertidal Antarctic cyanobacterium Halotia branconii CENA392 as revealed using long-read genome sequencing
<p>Antarctica poses numerous challenges to life such as cold shock, low nutrient concentrations and periodic desiccation over a wide range of extreme temperatures. Cyanobacteria survive this harsh environment having evolved adaptive metabolic plasticity to become the dominant primary producers. The type strain cyanobacterium <em>Halotia branconii</em> CENA392 was isolated from an Antarctic intertidal seashore. The complete circular genome of this strain is presented herein, which was assembled using long sequence reads. The genome encoded some stress-related genes associated with low-temperature adaptation and biosynthesis of mycosporine-like amino acid (MAA) photoprotective compounds. Empirical experimentation demonstrated constitutive production of the MAA porphyra-334 and total carotenoids without exposure to low temperatures or ultraviolet radiation stress. Phylogenetic analysis provided insights on the taxonomic placement and the evolutionary history of some annotated genes. These data exemplify the importance of generating complete quality genome sequences of microorganisms isolated from extreme intertidal environments, facilitating in-depth evaluation of ecological and taxonomic inferences.</p>
HG002 data for Profiling Chromatin Accessibility in Humans Using Adenine Methylation and Long-Read Sequencing
<p>This dataset includes 6mA frequency data for the HG002 native DNA (untreated) sample sequenced on nanopore r9.4.1.</p>
NA12878 and MCF7 data for Profiling Chromatin Accessibility in Humans Using Adenine Methylation and Long-Read Sequencing
<p>This dataset includes 5mC and 6mA frequency data for NA12878 and MCF7 EcoGII-treated chromatin samples sequenced on nanopore r9.4.1.</p>
Data from: Benchmarking ultra-high molecular weight DNA preservation methods for long-read and long-range sequencing
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Simulated data from: Reference-free assembly of long-read transcriptome sequencing data with RNA-Bloom2
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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.