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718 results for “illumina”
VADER PylT-PyOtR Illumina sequencing data
<p>FASTQ files used in data analysis for "PyOtR: a novel Pyrrolysyl tRNA evolved for enhanced unnatural amino acid incorporation."</p>
VADER TyrT-MARIO Illumina sequencing data
<p>FASTQ files used in data analysis for "Evolution of MARIO, an improved Tyrosyl tRNA for more efficient genetic code expansion."</p>
SNP genotyping of indigenous goats of Uganda based on the Goat_IGGC_65K_v2 illumina chip
<p>Uganda's indigenous goats are characterised based on ethnic communities that raise them, average mature weight, and hair coat characteristics. Uganda's indigenous goats have been genotyped based on the Goat_IGGC_65K_v2 illumina chip to study their population structure and genetic characteristics. Information generated from this data is vital for the sustainable utilisation, development, and conservation of Uganda's goat genetic resources.</p>
illumina_resp_viruses_masking
<p>Kraken2 database containing the illumina resvpiratory viruses with 83 accession numbers (34 unique taxons). Database used in Pipoli da Fonseca et al (https://pubmed.ncbi.nlm.nih.gov/36369470/)</p> <p> </p>
Silene uralensis aggregate, circumpolar species : dataset, Miseq Illumina RAW READS
<p>This dataset includes 43 samples of circumpolar species included in the <em>Silene uralensis</em> aggregate, sensu http://panarcticflora.org/. Forty-eight low copy nuclear genes were enriched with <em>Silene-</em>specific probes. The samples were sequenced with the Miseq technology from the short read Illumina platform. An excel sheet with samples information is included.</p> <p>Two other datasets are associated to this one, called "Silene uralensis aggregate, circumpolar species : dataset, Novaseq Illumina RAW READS SET 1" on Zenodo 10.5281/zenodo.12699639 and "Silene uralensis aggregate, circumpolar species : dataset, Novaseq Illumina RAW READS SET 2" on Zenodo 10.5281/zenodo.12700012. These three datasets belong to a study about phylogenetics in the circumpolar <em>Silene uralensis</em> aggregate. </p> <div> <div> <div> </div> <div> <div> <div> </div> <div> <p> </p> <p> </p> </div> </div> </div> </div> </div>
Illumina RNA-Sequencing fastq data from insecticide resistant Anopheles gambiae s.l
<p>This is a dataset of Illumina RNA sequencing reads, for a project investigating resistance to Pirimiphos-methyl in the major malaria vectors, Anopheles gambiae and Anopheles coluzzii. There are four biological replicates for the following conditions:</p> <p> </p> <p>Ngousso (susceptible)</p> <p>Kisumu (susceptible)</p> <p>Bouake gambiae unexposed</p> <p>Bouake gambiae PM survivors</p> <p>Bouake coluzzii unexposed </p> <p>Bouake coluzzii PM survivors </p> <p> </p> <p>SRA submission: SUB14596876</p> <p> </p>
SRR606249 spiked with fungal and viral Illumina reads at 1x, 10X, and 100X
<p>SRR606249 spiked with fungal and viral Illumina reads at 1x, 10X, and 100X using the ART simulator.</p> <p>See also: https://osf.io/dm938/ and https://dahak-metagenomics.github.io/</p> <p>Fungal and viral genomes used for computational spike-ins.<br> Kingdom Organism Accession Link<br> Fungus Candida albicans SC5314 NC_032089.1 https://www.ncbi.nlm.nih.gov/genome/?term=Candida+albicans<br> Fungus Cryptococcus neoformans var. grubii H99 NC_026745.1 https://www.ncbi.nlm.nih.gov/genome/?term=Cryptococcus+neoformans<br> Fungus Aspergillus fumigatus Af293 NC_007194.1 https://www.ncbi.nlm.nih.gov/genome/?term=Aspergillus+fumigatus<br> Fungus Histoplasma capsulatum NAm1 NW_001813913.1 https://www.ncbi.nlm.nih.gov/genome/?term=Histoplasma+capsulatum<br> Virus Human immunodeficiency virus 1 NC_001802.1 https://www.ncbi.nlm.nih.gov/genome/10319<br> Virus Influenza A virus (A/New York/392/2004(H3N2)) NC_007373.1 https://www.ncbi.nlm.nih.gov/genome/10290<br> Virus Marburg virus - Musoke, Kenya, 1980 NC_001608.3 https://www.ncbi.nlm.nih.gov/genome/5314<br> Virus Ebola virus - Mayinga, Zaire, 1976 NC_002549.1 https://www.ncbi.nlm.nih.gov/assembly/GCF_000848505.1/</p>
Combined high-depth Illumina+PacBio Sequencing of several samples from FDA-ARGOS
<p>The (real) sequencing data is compiled from a concatenation of sequencing runs from Database for Reference Grade Microbial Sequences (FDA-ARGOS). Specifically, the following samples were sequenced with both Illumina and PacBio. The sample accessions are shown below.</p> <pre><code> BioSample Run Platform Organism bases source <chr> <chr> <chr> <chr> <dbl> <chr> 1 SAMN06173354 SRR5409204 ILLUMINA Bacillus anthracis 1778000000 Colorado Serum Co., Anthrax Spore Vaccine 2 SAMN06173354 SRR5409205 PACBIO_SMRT Bacillus anthracis 2420000000 Colorado Serum Co., Anthrax Spore Vaccine 3 SAMN06173356 SRR5448657 ILLUMINA Bacillus circulans 2311000000 swab with brown-gray powder 4 SAMN06173356 SRR5448656 PACBIO_SMRT Bacillus circulans 242000000 swab with brown-gray powder 5 SAMN04875535 SRR4123920 ILLUMINA Elizabethkingia anophelis 1357000000 blood 6 SAMN04875535 SRR4123919 PACBIO_SMRT Elizabethkingia anophelis 2173000000 blood 7 SAMN06173306 SRR5413253 ILLUMINA Escherichia coli O157 3051000000 clinical isolate 8 SAMN06173306 SRR5413252 PACBIO_SMRT Escherichia coli O157 915000000 clinical isolate 9 SAMN06173318 SRR5413272 ILLUMINA Mycobacterium avium subsp. paratuberculosis 1032000000 feces 10 SAMN06173318 SRR5413271 PACBIO_SMRT Mycobacterium avium subsp. paratuberculosis 462000000 feces 11 SAMN07312468 SRR5879398 ILLUMINA Mycobacterium tuberculosis 1054000000 human 12 SAMN07312468 SRR5879396 PACBIO_SMRT Mycobacterium tuberculosis 1854000000 human 13 SAMN04875542 SRR4123931 ILLUMINA Neisseria gonorrhoeae 1053000000 ATCC strain 14 SAMN04875542 SRR4123930 PACBIO_SMRT Neisseria gonorrhoeae 1117000000 ATCC strain </code></pre> <p>Samples were selected with the SRA Run selector. The SraRunTable.txt file was exported containing the metadata for each sample, and fastq-dump from the SRA toolkit was used to write out fastq files for each run, with paired Illumina data being split into separate _1.fastq.gz and _2.fastq.gz files. </p>
Benchmarking Illumina RNA-seq fusion transcript detection methods - cancer cell lines RNA-seq
<p>Cancer cell line RNA-seq data (reads or names of reads from CCLE data) used for benchmarking Illumina-based fusion detection methods as used in:</p> <p>Haas, B.J., Dobin, A., Li, B. <em>et al.</em> Accuracy assessment of fusion transcript detection via read-mapping and de novo fusion transcript assembly-based methods. <em>Genome Biol</em> <strong>20</strong>, 213 (2019). https://doi.org/10.1186/s13059-019-1842-9</p> <p> </p> <p>For CCLE data, direct sharing of fastq files was not possible. CCLE data must be obtained from:</p> <p> https://portals.broadinstitute.org/ccle/home</p> <p>Instead, the identifiers for the reads leveraged as part of our study are made available, and these reads can be extracted from the CCLE fastq files directly once obtained from the primary source.</p> <p><br>For the non-CCLE data, the exact reads leveraged by our study are made directly available here in fastq format.</p>
Illumina next generation ddRAD sequencing SNP data from: Contrasting genetic diversity and structure between endemic and widespread damselfishes are related to differing adaptive strategies
<p class="MsoNormal"><strong><u><span>Aim:</span></u></strong><span> Discerning when, where, and how processes of isolation lead to differing biogeography is especially complex for marine species with similar ecological niches and within the same geographic location. We assessed population genetics of congeneric and ecologically similar damselfishes within their overlapping distributions and across potential barriers to geneflow.</span></p> <p class="MsoNormal"> </p> <p class="MsoNormal"><strong><u><span>Taxon:</span></u></strong><span> <em>Dascyllus marginatus </em>(endemic) and <em>Dascyllus abudafur </em>(widespread)<em>.</em></span></p> <p class="MsoNormal"> </p> <p class="MsoNormal"><strong><u><span>Location:</span></u></strong><span> Coral reefs from the Red Sea, Djibouti, Yemen, Oman, and Madagascar. </span></p> <p class="MsoNormal"> </p> <p class="MsoNormal"><strong><u><span>Methods:</span></u></strong><span> We used RADseq derived SNPs to investigate key differences in population genetics between both species and discuss barriers shaping genetic differentiation (neutral vs. selective) and biogeography. </span></p> <p class="MsoNormal"> </p> <p class="MsoNormal"><strong><u><span>Results:</span></u></strong><strong><span> </span></strong><em><span>Dascyllus marginatus </span></em><span>inhabited the Red Sea, the coasts of Yemen (including Socotra), and the Gulf of Oman. <em>Dascyllus abudafur</em> species was present from the Red Sea to Madagascar but was absent from Yemen and Oman. Populations of <em>D. marginatus </em>had an order of magnitude higher genetic differentiation compared to <em>D. abudafur</em>, as well as several outlier loci (suggesting selective pressure), which were absent in <em>D. abudafur</em> despite equal sampling locations. In both species, specimens from the Red Sea and Djibouti formed one genetic cluster separated from all other locations. </span></p> <p class="MsoNormal"> </p> <p class="MsoNormal"><strong><u><span>Main conclusions:</span></u></strong><span> The stronger genetic structure at smaller geographic scale of the endemic species seems associated to faster adaptation to environmental differences; whereas the widespread species only experienced reduced geneflow and neutral differentiation at much larger geographic scales. Restrictive transitions (between the Gulf of Aqaba and the Red Sea or the Red Sea and the Gulf of Aden) did not affect the genetic architecture of either species, while the environmental shift within the Red Sea (at 22°N/20°N) affected the endemic but not the widespread species. Samples from continental Yemen revealed that a genetic break in the Gulf of Aden likely reflects historical colonization processes and not contemporary environmental regimes.</span></p>
Gasterosteus aculeatus gynogenetic reference genome and functional annotations version 1 and raw PacBio and Illumina data
<p class="MsoNormal">Whole genome sequencing enables us to ask fundamental questions about the genetic basis of adaptation, population structure, and epigenetic mechanisms, but usually requires a suitable reference genome for making sense of the sequence data. While the availability of reference genomes has significantly improvement in both taxonomic coverage and overall quality, this poses a challenge for researchers in determining which reference genome best suits their data. Here we compare the use of two different reference genomes for the three-spined stickleback (<em>Gasterosteus aculeatus</em>), one novel genome from a European individual and the published reference genome of a North American individual. Specifically, we investigate the impact of using a local reference versus one generated from a differentiated population on several commonly used metrics in population genomics. Through mapping genome resequencing data of 60 sticklebacks from across Europe and North America, we confirmed genome quality is an important factor in choosing a reference genome. A local reference genome did offer increased mapping efficiency and genotyping accuracy, likely stemming from the higher similarity in genome sequence and synteny. Despite comparable distributions of the metrics generated across the genome using SNP data (i.e., π, Tajima's D, and FST), window-based statistics using different references resulted in different outlier genes and enriched gene functions. In contrast, the marker-based analysis utilising DNA methylation distributions had a considerably higher overlap in outlier genes and functions when using different reference genomes. Overall, our results highlight how using a local reference genome can increase the resolution of genome scans when multiple similar-quality reference genomes are available. Such results have implications in the detection of signatures of selection.</p>
GRAND-SLAM analysis of simulated nucleotide conversion in Illumina TruSeq data sets for grandRescue
<p>These are processed data sets from the simulation of nucleotide conversions (T>C) in single-end and paired-end Illumina TruSeq reads for the purpose of investigating 4sU-induced mapping impairment by read lengths and library preparation methods and the potential of grandRescue to alleviate these effects.</p> <p>The original data set is from: Sarantopoulou, D. <em>et al. </em>(https://doi.org/10.1038/s41598-019-49889-1)</p> <p>GEO Accession:GSE124167 (samples: GSM3523316 - GSM3523318)</p> <p> </p> <p>The zip files contain the full output from the processing pipeline (including the mapped reads, the scripts to run the pipeline and the output) for single-end (R1) and paired-end before and after rescue. The *.tsv.gz files are the GRAND-SLAM output tables.</p> <p><br> To generate the GRAND-SLAM output yourself, first prepare the mouse genomes. Then run the following command with the respective cit-files, prefixes (*.cit) and genome:</p> <p>gedi -e Slam -trim5p 15 -reads *.cit -genomic m.ens102 -prefix grandslam_t15/* -plot -D -modelall</p> <p>To generate the cit file you have to modify the first lines in start.bash to match the paths on your file system, and then run it.</p> <p> </p> <p>Software versions:</p> <p> gedi toolkit 1.0.5<br> GRAND-SLAM 2.0.7<br> STAR version 2.7.10b</p>
Simulated Illumina metagenomic reads
<p>We simulated metagenomic Illumina sequencing reads to a mixture ratio that approximates that found in patient sputa, albeit with a slightly higher mycobacterial component. In total, 0.9 gigabases were generated, at proportions: 46% each for bacteria and human, 6\% <em>Mycobacterium tuberculosis </em>complex (MTBC), and 1% each for virus and non-tuberculous mycobacteria (NTM).</p> <p>The reference genomes that reads were simulated from for these groups were gathered as follows. The references for the virus group were obtained using kraken's (v2.1.2) --download-library functionality. The viral library was downloaded on June 15 2023. The human genome from which the reads were simulated was KOREF_S1v2.1 (RefSeq accession GCA_020497085.1), with contigs shorter than 10kbp removed. The bacterial references were obtained by first downloading the bacteria library through kraken, followed by a subsampling due to the size (166Gb) of the resulting FASTA file. We subsampled the file by first removing sequences with a length <50kbp. We then extracted each sequence into its own FASTA file under a directory for the genus of the sequence - excluding the <em>Mycobacterium</em> genus. Genera were randomly subsampled to contain a maximum of 1000 assemblies. Each genus was then reduced to a representative subset using Assembly Dereplicator (commit 2dfcb14; https://github.com/rrwick/Assembly-Dereplicator) by keeping only 10% of the assemblies for each genus (-f 0.1). The NTM references selected were <em>M. abscessus</em> (accession GCF_017190695.1), <em>M. avium</em> (GCF_020735285.1), <em>M. kansasii</em> (GCA_014701265.1), <em>M. ulcerans</em> (GCF_000013925.1), <em>M. intracellulare</em> (GCF_016756075.1), <em>M. terrae</em> (GCF_010727125.1), and <em>M. fortuitum</em> (GCF_001307545.1). The MTBC reference is a lineage 1 assembly (GCF_932530395.1).</p> <p>Illumina reads were simulated with ART (v2016.06.05). We simulated paired reads from a MiSeq v3 system (-ss MSv3) with a read length of 150, a mean fragment length of 250 and fragment length standard deviation 10 (-l 150 -m 250 -s 10).</p> <p>We removed simulated Illumina reads with any ambiguous base.</p>
Contagem de reads sequenciamento Illumina - Expansão biblioteca Bison sgRNA library
<p>Tabela contendo contagem de reads para cada sgRNA da biblioteca Bison sgRNA (Addgene 169942) após expansão do DNA plasmidial e produção de partículas lentivirais. Na tabela, CP corresponde a contagem de reads da biblioteca de DNA plasmidial, enquanto que CL corresponde a contagem de reads da biblioteca lentiviral. </p>
Illumina next generation ddRAD sequencing SNP data from: Contrasting genetic diversity and structure between endemic and widespread damselfishes are related to differing adaptive strategies
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Garfagnina goats with Illumina CaprineSNP50 BeadChip
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.bam alignment files of Illumina and ONT sequencing of pREF plasmid
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Gasterosteus aculeatus gynogenetic reference genome and functional annotations version 1 and raw PacBio and Illumina data
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SNP genotyping of indigenous goats of Uganda based on the Goat_IGGC_65K_v2 illumina chip
Open the record for dataset details and reuse information.
Illumina CRAM files for "Characterization of large-scale structural variants using Linked-Reads" (Part 2 of 2)
<p>Here we propose novel algorithms to characterize large (>40 Kbp) interspersed segmental duplications, (> 80 Kbp) inversions, (> 100 Kbp) deletions, and (> 100 Kbp) translocations using Linked-Read sequencing data. Linked-Read sequencing provides long range information, where Illumina reads are tagged with barcodes that can be used to assign short reads to pools of larger (30-50 Kbp) molecules.</p> <p><br> Our methods rely on split molecule sequence signature that we have previously described. Similar to the split read, split molecules refer to large segments of DNA that span an SV breakpoint. Therefore, when mapped to the reference genome, the mapping of these segments would be discontinuous.</p> <p><br> We redesign our earlier algorithm, VALOR, to specifically leverage Linked-Read sequencing data to discover large <br> structural variation. We implement our new algorithms in a new software package, called VALOR2. </p>
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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.