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1,037 results for “large-scale”
Development of a panel of SNP loci in the emblematic southern damselfly (Coenagrion mercuriale) using a hybrid method: Pitfalls and recommendations for large-scale SNP genotyping in a non-model endangered species
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Data from: Large-scale variation in biodiversity–ecosystem functioning (BEF) relationships in aquatic metacommunities on terrestrial islands
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Data from: Large-scale metabarcoding analysis of epipelagic and mesopelagic copepods in the Pacific
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Large-scale exploration of nitrogen utilization efficiency in Asia region for rice crop: variation patterns and determinants
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Qualitative survey instruments for a study on equity from a large-scale private-sector healthcare intervention in Ghana and Kenya: the African Health Markets for Equity (AHME) study
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Ecosystem functions of plant diversity: Comparisons from a large-scale marsh restoration experiment in California, USA
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Impacts of large-scale atmospheric-ocean variability on Alaskan fire season severity
Fire is the keystone disturbance in the Alaskan boreal forest and is highly influenced by summer weather patterns. Records from the last fifty-three years reveal high variability in the annual area burned in Alaska and corresponding high variability in weather occurring at multiple spatial and temporal scales. Here we use multiple linear regression (MLR) to systematically explore the relationships between weather variables and the annual area burned in Alaska. Variation in the seasonality of the atmospheric circulation-fire linkage is addressed through an evaluation of both the East Pacific teleconnection field and a Pacific Decadal Oscillation index keyed to an annual fire index. In the MLR, seven explanatory variables and an interaction term collectively explain 79% of the variability in the natural logarithm of the number of hectares burned annually by lightning-caused fires in Alaska from 1950-2003. Average June temperature alone explains one-third of the variability in the logarithm of annual area burned. The results of this work suggest that the Pacific Decadal Oscillation and the East Pacific teleconnection indices can be useful in determining a priori an estimate of the number of hectares that will burn in an upcoming season. This information also provides insight into the link between ocean-atmosphere interactions and the fire disturbance regime in Alaska.
Piveau: A Large-scale Open Data Management Platform based on Semantic Web Technologie
<p>This file contains the sources that were used to create the feature comparison in "Piveau: A Large-scale Open Data Management Platform based on Semantic Web Technologies".</p>
PacBio Simulation 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>
PacBio Simulation CRAM files for "Characterization of large-scale structural variants using Linked-Reads" (Part 1 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>
10XG CRAM files for "Characterization of large-scale structural variants using Linked-Reads" (Part 1 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>
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>
Illumina CRAM files for "Characterization of large-scale structural variants using Linked-Reads" (Part 1 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>
Data file for paper: Javier Rubio-Garcia; Anthony R J Kucernak, Rutao Liu and Barun K Chakrabarti "Hydrogen/functionalized benzoquinone for a high-performance regenerative fuel cell as a potential large-scale energy storage platform"
<p>The data in this spreadsheet was used to produce the figures in the paperJavier Rubio-Garcia; Anthony R J Kucernak, Rutao Liu and Barun K Chakrabarti "Hydrogen/functionalized benzoquinone for a high-performance regenerative fuel cell as a potential large-scale energy storage platform"Journal of Materials Chemistry A, 2020, DOI: 10.1039/C9TA12396B</p> <p>Please cite the above reference if you wish to use this data</p>
Dataset for Surface Enhanced Raman Spectroscopy for quantitative analysis: results of a large-scale European multi-instrument interlaboratory study
<p>This dataset contains all the spectra used in "Surface Enhanced Raman Spectroscopy for quantitative analysis: results of a large-scale European multi-instrument interlaboratory study". Data are available in 2 different formats:</p> <p>- a compressed archive with 1 folder ("Dataset”) cointaining all the 3516 TXT files (1 file = 1 spectrum) uploaded by all participants (all spectra of the Interlaboratory study);</p> <p>- 1 single CSV file (“ILSspectra.csv”) with all the 3516 spectra uploaded by all participants in the form of a table. The data are structured as follow, with each row being 1 spectrum, preceded by metadata: "labcode", "substrate", "laser", "method", "sample", "type", "conc", "batch", "replica". Note that for those spectra starting after 400 cm-1 and/or ending before 2000 cm-1 missing values were expressed as NAs.</p>
Characterization of large-scale structural variants using Linked-Reads
<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>
Dataset - Large-scale kinetic metabolic models of Pseudomonas putida KT2440 for consistent design of metabolic engineering strategies
<p>Models developed for the manuscript “Large-scale kinetic metabolic models of<em> Pseudomonas putida</em> for consistent design of metabolic engineering strategies" by M. Tokic, V. Hatzimanikatis, and L. Miskovic.</p> <ul> <li>Thermodynamically curated and gap-filled genome-scale model of <em>P. putida</em> iJN1411, iJN1411cur. <ul> <li>CuratediJN1411GEM.mat</li> </ul> </li> <li>Three systematically reduced stoichiometric models of <em>P. putida</em>: <ul> <li>D1 model, RedModelD1SminP2.mat</li> <li>D2 model, RedModelD2SminP2.mat - used for the studies performed in the manuscript</li> <li>D3 model, RedModelD3SminP2.mat</li> </ul> </li> </ul> <p> </p>
MitoFinder: efficient automated large-scale extraction of mitogenomic data in target enrichment phylogenomics
<p><strong>MitoFinder: efficient automated large-scale extraction of mitogenomic data in target enrichment phylogenomics</strong></p> <p>Rémi Allio<sup>1</sup>, Alex Schomaker-Bastos<sup>2,†</sup>, Jonathan Romiguier<sup>1</sup>, Francisco Prosdocimi<sup>2</sup>, Benoit Nabholz<sup>1</sup>, and Frédéric Delsuc<sup>1</sup></p> <p><sup>1</sup><em>Institut des Sciences de l’Evolution de Montpellier (ISEM), CNRS, EPHE, IRD, Université de Montpellier, Montpellier, France.</em></p> <p><sup>2</sup><em>Laboratório Multidisciplinar para Análise de Dados (LAMPADA), Instituto de Bioquímica Médica Leopoldo de Meis, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brasil.</em></p> <p><sup>†</sup><em> In Memoriam (08/01/2015) </em></p> <p> </p> <p><em><strong>Correspondence</strong></em></p> <p>Rémi Allio</p> <p>Email: <a href="mailto:remi.allio@umontpelier.fr">remi.allio@umontpellier.fr</a></p> <p>Frédéric Delsuc</p> <p>Email: <a href="mailto:frederic.delsuc@umontpellier.fr">frederic.delsuc@umontpellier.fr</a></p> <p> </p> <p><strong><em>Running head</em></strong></p> <p>Mitochondrial signal from UCE capture data</p> <p> </p> <p><strong>Abstract</strong><strong> </strong></p> <p>Thanks to the development of high-throughput sequencing technologies, target enrichment sequencing of nuclear ultraconserved DNA elements (UCEs) now allows routinely inferring phylogenetic relationships from thousands of genomic markers. Recently, it has been shown that mitochondrial DNA (mtDNA) is frequently sequenced alongside the targeted loci in such capture experiments. Despite its broad evolutionary interest, mtDNA is rarely assembled and used in conjunction with nuclear markers in capture-based studies. Here, we developed MitoFinder, a user-friendly bioinformatic pipeline, to efficiently assemble and annotate mitogenomic data from hundreds of UCE libraries. As a case study, we used ants (Formicidae) for which 501 UCE libraries have been sequenced whereas only 29 mitogenomes are available. We compared the efficiency of four different assemblers (IDBA-UD, MEGAHIT, MetaSPAdes, and Trinity) for assembling both UCE and mtDNA loci. Using MitoFinder, we show that metagenomic assemblers, in particular MetaSPAdes, are well suited to assemble both UCEs and mtDNA. Mitogenomic signal was successfully extracted from all 501 UCE libraries allowing confirming species identification using COI barcoding. Moreover, our automated procedure retrieved 296 cases in which the mitochondrial genome was assembled in a single contig, thus increasing the number of available ant mitogenomes by an order of magnitude. By leveraging the power of metagenomic assemblers, MitoFinder provides an efficient tool to extract complementary mitogenomic data from UCE libraries, allowing testing for potential mito-nuclear discordance. Our approach is potentially applicable to other sequence capture methods, transcriptomic data, and whole genome shotgun sequencing in diverse taxa.</p> <p> </p> <p><strong><em>Figures & Tables</em></strong></p> <p><strong>Figure 1.</strong> Conceptualization of the pipeline used to assemble and extract UCE and mitochondrial signal from ultraconserved element sequencing data.</p> <p><strong>Figure 2</strong>. Comparison of the efficiency of the assemblers in terms of: A) computational time, B) number of potentially mitochondrial contigs identified, and C) number of mitochondrial genes annotated. Violin plots reflect the data distribution with a horizontal line indicating the median. Note that for the three metagenomic assemblers, 5 CPUs were used compared to 35 CPUs for Trinity. Plots were obtained using PlotsOfData (Postma & Goedhart 2019).</p> <p><strong>Figure 3.</strong> Phylogenomic relationships of ants (Formicidae). AA) Mito-nuclear phylogenetic differences among subfamily relationships based on the UCE and mtDNA supermatrices obtained with the assembler MetaSPAdes assembler. Clades corresponding to subfamilies were collapsed. Inter-subfamily relationships with UFBS < 95% were collapsed. Non-maximal node support values are reported. B) The topology obtained reflects the results of phylogenetic analyses based on the amino acid mitochondrial supermatrix (using MetaSPAdes as assembler). Histograms reflect the percent of UCEs (light grey) and mitochondrial genes (dark grey) recovered for each species. Illustrative pictures (*): <em>Diacamma sp</em>. (Ponerinae; top left), <em>Formica sp</em>. (Formicinae; top right), and <em>Messor barbarus </em>(Myrmicinae; bottom right).</p> <p><strong>Table 1. </strong>Summary statistics on assembly results according to the assembler used. The values are averages over the 501 assemblies, except for the assembly time, which is a median value. The two tables report specific statistics for A) ultraconserved elements data, and B) mitochondrial data. Note that 35 CPUs were used for Trinity whereas 5 CPUs were used for other assemblers.</p> <p><strong>Table 2.</strong> Statistical comparison between the performances of the different assemblers. Statistical significance was estimated with a paired non parametric test (paired wilcoxon test). *** = <em>p</em><0.001; ** = <em>p</em><0.01; * = <em>p</em><0.05; NS = <em>p</em>>0.05; and (+)/(-) is the result of the comparison between the row and the column.</p> <p> </p> <p><strong><em>Appendices</em></strong></p> <p><strong>Appendix S1.</strong> List of the 501 UCE libraries (SRA accessions) and associated metadata.</p> <p><strong>Appendix S2.</strong> Summary statistics on mitochondrial signal recovered per species and depending on the assembler used. The table provides the number of contigs and genes recovered with MitoFinder and the size of each annotated gene.</p> <p><strong>Appendix S3.</strong> Summary statistics of barcoding analyses. Detailed results for both BOLDsystem and Megablast analyses are provided for each CO1 recovered with MitoFinder using MetaSPAdes.</p> <p><strong>Appendix S4.</strong> Detailed results of tree distance analyses realized with Dquad (Ranwez, Criscuolo, & Douzery 2010). Trees obtained with each assembler with mitochondrial amino acid supermatrix, mitochondrial nucleotide supermatrix, and UCE nucleotide supermatrix were compared with each others.</p> <p><strong>Appendix S5</strong>. List of Genbank accession numbers for newly generated mitchondrial contigs.</p> <p> </p> <p><strong><em>Zenodo supplementary files</em></strong></p> <p><strong>Assembly_results.tar.gz</strong> Contains all contigs obtained for each species with the different assemblers implemented in MitoFinder.</p> <p><strong>MitoFinder_annotations.tar.gz</strong> Contains MitoFinder annotations for each species. (based on the contigs obtained with MetaSPAdes)</p> <p><strong>UCE_results.tar.gz</strong> Contains all annotated UCE obtained for each species after UCE identification with PHYLUCE. (MetaSPAdes)</p> <p><strong>Final_mtDNA_alignments.tar.gz</strong> Contains the final mitochondrial gene alignments. (MetaSPAdes)</p> <p><strong>Final_UCE_alignments.tar.gz</strong> Contains the final UCE alignments. (MetaSPAdes)</p> <p><strong>Final_mtDNA_matrices.tar.gz</strong> Contains the final mi tochondrial supermatrices (AA and NT) used for the phylogenetic analyses. (MetaSPAdes)</p> <p><strong>Metaspades_final_UCE_matrix.phy</strong> The final UCE supermatrix used for the phylogenetic analyses. (MetaSPAdes)</p>
A Large-scale Data Set and an Empirical Study of Docker Images Hosted on Docker Hub
<p>The data set schema, fields description, and analysis scripts are in the GitHub artifact repository.</p> <p>https://github.com/linncy/icsme2020-docker-study</p> <p> </p> <p>@inproceedings{LinICSME20,<br>author={Changyuan Lin and Sarah Nadi and Hamzeh Khazaei},<br>title={A Large-scale Data Set and an Empirical Study of Docker Images Hosted on Docker Hub},<br>booktitle={Proceedings of the 36th IEEE International Conference on Software Maintenance and Evolution (ICSME)},<br>year={2020},<br>url_Paper={https://www.dropbox.com/s/3bktcmdr7rlw1ic/LinICSME20.pdf}<br>}</p>
RadioGx: Analysis of Large-Scale Radio-Genomic Data
<p>This dataset contains an index of RadioSet objects available for download using the RadioGx R package. Each of the RSet objects are hosted in their own separate Zenodo uploads. The RadioGx R package is available for download from Bioconductor.</p>
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.