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2,848 results for “sequence data”
Fig. 1 in Morphology, microanatomy and sequence data of Sclerolinum contortum (Siboglindae, Annelida) of the Gulf of Mexico
Fig. 1 Phylogenetic tree of the Siboglinidae, including species of vestimentiferans, Sclerolinum, Osedax, and frenulates. Myriochele sp. (Polychaeta; Oweniidae) was used as an outgroup. The tree was built by neighbor-joining on a Kimura-2-Parameter distance calculated on a
Influence of storm sequencing and beach recovery on sediment transport and beach resilience data set at CIEM large scale wave flume.
<p>The Influence of storm sequencing and beach recovery on sediment transport and beach resilience (RESIST) experiments project proposes to study experimentally sequences of storm induced erosion and beach recovery, with a particular focus on the poorly known morphodynamic processes under low energy conditions. Series of large scale experimental tests were done to collect data on the cross-shore hydrodynamics, sediment transport and beach evolution. The main aim of this proposal is to investigate the influence of sequences of beach erosion-recovery in the overall beach profile evolution.</p> <p>The tested wave conditions (2 erosive and 3 Accretive bichromatic conditions) were combined to form three sequences of changing high/mild energy conditions. Each condition started from an initial beach 1/15 handmade profile.</p> <p>The experiments were carried out in the large scale wave flume CIEM at Universitat Politècnica de Catalunya (UPC), Barcelona within the program of Transnational Access of Hydralab+.</p> <p>Due to its size, the data set can not be placed on this repository and will be provided on demand. Please contact with the authors or with the data manager of the CIEM installation.</p>
SILVA_123 Eukaryota taxonomic training data formatted for DADA2; plus version with (uncurrated) additional sequences
<p>This is the Silva123 taxonomy reformatted to work with eukaryote sequences for dada2:</p> <p><a href="https://zenodo.org/api/files/4f873b5b-fe02-4344-8c8b-c723c3caba67/SILVA_123_dada2.fasta">SILVA_123_dada2.fasta </a></p> <p>It has been created using a script available <a href="https://github.com/derele/AA_Hyena/blob/master/R/convert_silva_taxonomy.r">here</a>.</p> <p>To increase coverage (Silva has a low coverage for eukaryotes). Uncurrated additional sequences similar to ASVs found in the intestine of hyenas (BLAST) have been added. The script used for taxonomic annotation of these sequences is available <a href="https://github.com/derele/AA_Hyena/blob/master/scripts/blast2alltax_outfmt11.pl">here</a>. The file containing these additional (uncurrated!) sequences is:</p> <p><a href="https://zenodo.org/api/files/4f873b5b-fe02-4344-8c8b-c723c3caba67/SILVA_123_dada2_exp.fasta?versionId=78a7526a-72e0-4707-ab5c-297671b5ff13">SILVA_123_dada2_exp.fasta </a></p> <p>This expanded file has been used for taxonomic annotation in: </p> <p><a href="https://doi.org/10.3389/fcimb.2017.00262">Heitlinger, E., Ferreira, S., Thierer, D., Hofer, H., & East, M. L. (2017). The intestinal eukaryotic and bacterial biome of spotted hyenas: the impact of social status and age on diversity and composition. <em>Frontiers in cellular and infection microbiology</em>, <em>7</em>, 262.</a></p>
Supplement data for the article "The impact of OTU sequence similarity threshold on diatom-based bioassessment: A case study of the rivers of Mayotte (France, Indian Ocean)", in preparation
<p>These are supplement data for the article "The impact of OTU sequence similarity threshold on diatom-based bioassessment: A case study of the rivers of Mayotte (France, Indian Ocean)", in preparation</p> <p>The folowing files are available:</p> <ul> <li>Supplement 1. Map of Mayotte with the sampling sites and the rivers.</li> <li>Supplement 2. <em>rbcL</em> primers, reaction mixture, and conditions used for the PCR of the 312-bp <em>rbcL</em> fragment. The information provided is for a single reaction with a final volume of 25µL.</li> <li>Supplement 3. The 20 fastq files containing the demultiplexed DNA reads.</li> <li>Supplement 4. Number of sequence reads for each sample before and after the trimming procedure.</li> <li>Supplement 5. The 20 OTU lists, corresponding to the 20 SSTs, including the number of DNA reads within the 90 samples and their assigned taxonomy.</li> <li>Supplement 6. Sampling site description with sample codes, names of rivers, year, number of raw DNA reads and GPS coordinates.</li> <li>Supplement 7. Values and summary statistics for the environmental variables.</li> <li>Supplement 8. The script used in Mothur for the bioinformatic analysis from trimming to the used OTU lists.</li> </ul> <p> </p>
Example data for "Sunbeam: an extensible pipeline for analyzing metagenomic sequencing experiments" [Version 2]
<p>This repository contains the example datasets analyzed in the Sunbeam paper, version 2. Please see the current <a href="http://sunbeam.readthedocs.io/en/latest/quickstart.html">Sunbeam Quickstart Guide</a> for up-to-date instructions on installing and running Sunbeam.</p>
A Comprehensive Assessment of Demographic, Environmental and Host Genetic Associations with Gut Microbiome Diversity in Healthy Individuals (16S rRNA gene sequencing data)
<p>Microbiome data accompanying manuscript "A Comprehensive Assessment of Demographic, Environmental and Host Genetic Associations with Gut Microbiome Diversity in Healthy Individuals". Data is available for alpha- and beta- diversity, as well as for individual taxa both in binary and quantitative phenotypic representation. Data is available for 827 individuals that gave consent for their data to be shared outside of the Milieu intérieur consortium. </p>
Supplementary data for: Detection of expressed mutations in acute myeloid leukemia cells using single cell RNA-sequencing
<p>Supplemental data for the publication:<br> Detection of expressed mutations in acute myeloid leukemia cells using single cell RNA-sequencing </p> <p>Contents: <br> - expression_matrices.tar - Gene/Barcode expression matrices from `cellranger count`<br> - *.seurat.rds - R object files with Seurat analyses and data structures for each sample<br> - scrna_mutations.tar.gz - copy of a git repository containing additional scripts and data - also hosted at <a href="https://github.com/genome/scrna_mutations">https://github.com/genome/scrna_mutations</a> (snapshot as of May 20, 2019)</p>
A comparison of automatic cell identification methods for single-cell RNA-sequencing data
<p>Benchmark datasets used to evaluate the performance of 22 classifiers for cell type classification for scRNA-seq data</p>
HiPR-FISH PacBio Sequencing Data
<p>This dataset contains raw fastq files from PacBio sequencing for HiPR-FISH experiments.</p>
MinION sequence data: MinION sequencing of colorectal cancer tumor microbiomes – a comparison with amplicon-based and RNA-Sequencing
<p>MinION sequencing data that was unmapped by minimap2 for the 11 samples using in the "MinION sequencing of colorectal cancer tumor microbiomes – a comparison with amplicon-based and RNA-Sequencing" paper.</p>
Bayesian network analysis of plasma microRNA sequencing data in patients with venous thrombosis
<p>This dataset contains the results of 2 related analyses, described in "Bayesian network analysis of plasma microRNA sequencing data in patients with venous thrombosis" (European Heart Journal Supplements, OUP). Link to the article: https://www.hal.inserm.fr/inserm-02310241</p> <p>1) In the directory "miRNAs_MARTHA_GWAS" : GWAS summary statistics for 162 circulating miRNAs in 344 VTE patients from the MARTHA cohort.</p> <p>Header for each summary file:</p> <p>Trait: miRNA id<br> chr: Chromosome<br> pos.hg19: Position of the variant in hg19/GRCh37 coordinates<br> SNP: rsid<br> A1: Reference allele on the forward strand<br> A2: Alternate allele on the forward strand<br> freq_A1: Frequency of reference allele<br> rsqr: Imputation quality defined by MACH<br> beta_A1: Estimated effect size (beta regression coefficient) of reference allele<br> se_A1: Estimated standard error of beta<br> p: p-value (significance of estimated beta)<br> z.score: Z-score</p> <p> </p> <p>2) In the directory "meta_analysis": Random effect meta-analysis combining the results of our GWAS on the MARTHA cohort, and the results from a similar analysis conducted by Nikpay et al. (doi: 10.1093/cvr/cvz030). Summary statistics of 142 microRNAs, common to both datasets, were processed (and combine 1054 samples).</p> <p>Header for each summary file:</p> <p>chr: Chromosome<br> pos.hg19: Position of the variant in hg19/GRCh37 coordinates<br> SNP: rsid<br> A1: Reference allele on the forward strand<br> A2: Alternate allele on the forward strand<br> N: Sample size<br> Q: Cochran's heterogeneity statistic<br> Q.p: p-value of Cochran's Q<br> beta_A1: Estimated effect size (beta regression coefficient) of reference allele<br> se_A1: Estimated standard error of beta<br> p: p-value (significance of estimated beta)</p> <p> </p>
Fig. 1 in Phylogenetic Analyses on the Tintinnid Ciliates (Protozoa, Ciliophora) Based on Multigene Sequence Data
Fig. 1. Alignment of the ITS1-5.8S-ITS2 regions from ten reference tintinnid species: Tintinnopsis sp. 1, Tintinnopsis sp. 2, Tintinnopsis sp. 3, T. cylindrica, T. tubulosoides, T. lohmanni, Stenosemella nivalis, Codonellopsis nipponica, Favella campanula, F. taraikaensis, F. ehrenbergii, Metacylis angulata, Eutintinnus pectinis, and Amphorellopsis acuta. Agreement with other sequences is indicated by periods and disagreement by a nucleotide at a position. Gaps introduced to improve the alignment are indicated by dashes. The insertion in ITS1 of F. campanula is labeled. The ITS1 and ITS2 region sequences are shaded; the 5.8S gene sequence is unshaded.
Figs 3–5 in Phylogenetic Analyses on the Tintinnid Ciliates (Protozoa, Ciliophora) Based on Multigene Sequence Data
Figs 3–5. Phylogenetic analyses and photomicrographs in this work. 3, 4 – phylogenetic analyses inferred by ML of internal transcribed spacer (ITS) and 5.8S region sequences and small subunit rDNA sequences. Topologies of trees constructed with other methods (BI, MP, or NJ) were essentially identical, lacking only a few nodes indicated by asterisks in the support values. Posterior probability values for branches of the ML tree and bootstrap values for ML, NJ, and MP trees, respectively, are given on nodes. Newly sequenced species are highlighted in bold. Scale bar in 3 corresponds to 10 substitutions per 100 nucleotide positions, scale bar in 4 corresponds to 5 substitutions per 100 nucleotide positions. 5 – photomicrographs of nine of the 10 newly sequenced tintinnid species in vivo: A – Amphorellopsis acuta; B – Favella taraikaensis; C – F. campanula; D – Tintinnopsis sp. 2; E – Stenosemella nivalis; F – Codonellopsis nipponica; G – Tintinnopsis sp. 3; H – T. lohmanni and I – T. cylindrica. Scale bars: 25 μm.
Fig. 5. Parsimony splits network constructed from a per and ITS2 concatenated sequence data set. Heterozygous specimens are indicated with A and B in Ecological and geographical speciation in Lucilia bufonivora: The evolution of amphibian obligate parasitism
Fig. 5. Parsimony splits network constructed from a per and ITS2 concatenated sequence data set. Heterozygous specimens are indicated with A and B. 'bufonivora_EUROPE_A' represents a consistent haplotype present in all 12 samples from Europe (Table 1), of which just two were heterozygous ('bufonivora_frog' and 'bufonivora_NLWi'). 'bufonivora_CAN' and 'elongata_CAN' are represented by two samples each, none of which were heterozygous. Scale bar represents expected changes per site.
Figure 2 in Investigation of genetic variation among Turkish populations of Andricus lignicola using mitochondrial cytochrome b gene sequence data
Figure 2. Bayesian analysis tree. Posterior probability values are given on the branches. Outgroup haplotypes: Ac (Andricus caliciformis) and Ak (Andricus kollari).
Fig. 5. Maximum likelihood phylogenetic tree inferred from nucleotide sequence data from mitochondrial 16S in A herpetological survey of western Zambia
Fig. 5. Maximum likelihood phylogenetic tree inferred from nucleotide sequence data from mitochondrial 16S rRNA of Phrynobatrachus natalensis. Numbers above branches are non-parametric bootstrap support values. Specimen vouchers or GenBank accession numbers are shown in parentheses. Colored polygons highlight the clades comprising specimens from this study. (*) Nearest sample from type locality of Phrynobatrachus natalensis; (**) Haplotype groups A and B in Zimkus and Schick (2010).
Fig. 6 in New data on Thelohanellus nikolskii Achmerov, 1955 (Myxosporea, Myxobolidae) a parasite of the common carp (Cyprinus carpio, L.): The actinospore stage, intrapiscine tissue preference and molecular sequence
Fig. 6. Phylogenetic position of Thelohanellus nikolskii spores from the fins and scales of common carp based on SSU rDNA analysis by the Maximum Likelihood algorithm. Myxobolus cerebralis was used as the outgroup. Bootstrap values are given at the nodes. The scale-bar indicates the number of expected substitutions per site.
Fig. 5 in New data on Thelohanellus nikolskii Achmerov, 1955 (Myxosporea, Myxobolidae) a parasite of the common carp (Cyprinus carpio, L.): The actinospore stage, intrapiscine tissue preference and molecular sequence
Fig. 5. Microphotograph of fresh, unstained actinospore of Aurantiactinomyxon type (AUM5) from Nais sp. Insert – apical view of spore with protruding polar capsules.
Fig. 7 in New data on Thelohanellus nikolskii Achmerov, 1955 (Myxosporea, Myxobolidae) a parasite of the common carp (Cyprinus carpio, L.): The actinospore stage, intrapiscine tissue preference and molecular sequence
Fig. 7. Schematic illustration of T. nikolskii life cycle: Aurantiactinomyxon-type actinospores (A) infect the vertebrate host C. carpio (V) in which they develop myxospores (M) that infect the invertebrate host Nais sp. (I).
Fig. 2. A in New data on Thelohanellus nikolskii Achmerov, 1955 (Myxosporea, Myxobolidae) a parasite of the common carp (Cyprinus carpio, L.): The actinospore stage, intrapiscine tissue preference and molecular sequence
Fig. 2. A: Section of an infected fin, containing T. nikolskii cysts, stained with hematoxilin-eosin. Cartilage of finray (cf) is next to the cyst. Plasmodium (p) is in the achromatic tegument, mature myxospores (s) are in the middle, sporoblasts (sb) are at the edges. Around the plasmodium, there is a thick connective tissue (ct) layer, containing cartilaginous elements (c). Multilayer epithelium (e) is the outer layer. B: T. nikolskii myxospores from the plasmodium.
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.