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.
505
datasets available to search
ShareScore release 0.9.0
Dataset results
505 results for “Complete genomes”
FIGURE 6 in A new species of the genus Hilethera Uvarov, 1923 (Orthoptera: Acrididae: Oedipodinae) from China and its complete mitochondrial genome
FIGURE 6. Phylogenetic reconstruction of Oedipodinae using mitochondrial PCGs and rRNAs concatenated dataset inferred from Bayesian inference (BI, on the left of figure) and Maximum likelihood (ML, on the right of figure). Values on nodes indicate branch support, BI posterior probabilities (PP) / Maximum likelihood Bootstrap support values (BV). Asterisks are used to indicate maximum support (1.0 for PP and 100% for BV). Accession number of each species recorded in GenBank was indicated in brackets.
States of genome assembly supporting data for complete genome assembly of clinical multidrug resistant Bacteroides fragilis isolates enables comprehensive identification of antimicrobial resistance genes and plasmids.
<p>Assemblies for each isolate and assembly stage is in .gfa and .fasta format.</p> <p>the best SPAdes assembly is also included in the .zip files.</p> <p>1) Unicycler with illumina data and Nanopore data from the first sequencing run, filtered with FiltLong.<br> 2) Unicycler with illumina data and Nanopore data from the first sequencing run, filtered with FiltLong and error corrected with Canu<br> 3) Unicycler with illumina data and Nanopore data from the first and second sequencing run, filtered with FiltLong.<br> 4) manual finshing of assembly 3. <br> Methods are described in the paper and at the github repository (https://github.com/thsyd/bfassembly)</p> <p> </p>
Fig. 7 in Diversification of Hemidactylus geckos (Squamata: Gekkonidae) in coastal plains and islands of southwestern Arabia with descriptions and complete mitochondrial genomes of two endemic species to Saudi Arabia
Fig. 7 Digital elevation model of coastal southwestern Arabia showing the distributions of the Hemidactylus species included in this study. Note the sharp elevation gradient between the Tihama plain
Fig. 3 in Diversification of Hemidactylus geckos (Squamata: Gekkonidae) in coastal plains and islands of southwestern Arabia with descriptions and complete mitochondrial genomes of two endemic species to Saudi Arabia
Fig. 3 Species tree of the southwestern Arabian Hemidactylus clade. Posterior probability values are indicated only for branches with pp ≥ 0.9. For a tree with all posterior probability values, see Supplementary Fig. S3. Boxplots to the right of the tree show some key morphological and ecological characteristics for the species. Body size is SVL of adult specimens; the head-to-body ratio was calculated as HL/SVL (adults only); elevation indicates the range of elevations
Fig. 1 in Diversification of Hemidactylus geckos (Squamata: Gekkonidae) in coastal plains and islands of southwestern Arabia with descriptions and complete mitochondrial genomes of two endemic species to Saudi Arabia
Fig. 1 Phylogenetic tree resulting from the ML analysis of two mitochondrial and five nuclear markers concatenated. Branch support is given by each node in the following order: SH-aLRT, UFBoot, standard bootstrap, and posterior probabilities from the Bayesian analysis. The lengths of the branches leading to the outgroup have been truncated. The maps on the right show sampling localities for each spe-
Fig. 6 in Complete mitochondrial genomes of Chionomys roberti and Chionomys nivalis (Mammalia: Rodentia) from Turkey: Insight into their phylogenetic position within Arvicolinae
Fig. 6 ML tree reconstructed from CYTB data set of the genus Chionomys. Bootstrap values are shown at nodes. The symbols and numbers indicate the compressed lineages within the snow vole species including cytochrome b sequences obtained from GenBank and this
Fig. 7 in Complete mitochondrial genomes of Chionomys roberti and Chionomys nivalis (Mammalia: Rodentia) from Turkey: Insight into their phylogenetic position within Arvicolinae
Fig. 7 BI tree reconstructed from CYTB data set of the genus Chionomys. Posterior probability values are shown at nodes. The symbols and numbers indicate the compressed lineages within the snow vole species including cytochrome b sequences obtained from GenBank
Fig. 5 in Complete mitochondrial genomes of Chionomys roberti and Chionomys nivalis (Mammalia: Rodentia) from Turkey: Insight into their phylogenetic position within Arvicolinae
Fig. 5 The reconstructed BI phylogenetic tree, based on the GTR nucleotide substitution model and including the PCG sequences of C. nivalis and C. roberti along with the representatives of other genera
Fig. 3 in Complete mitochondrial genomes of Chionomys roberti and Chionomys nivalis (Mammalia: Rodentia) from Turkey: Insight into their phylogenetic position within Arvicolinae
Fig. 3 Relative synonymous codon usage (RSCU) and codon usage of C. nivalis (1778_Kars) and C. roberti (1775_Trabzon) mitogenomes. Graphics above (a) give RSCU values; graphics below (b)
Fig. 1 in Complete mitochondrial genomes of Chionomys roberti and Chionomys nivalis (Mammalia: Rodentia) from Turkey: Insight into their phylogenetic position within Arvicolinae
Fig. 1 Circular mitogenome map of C. nivalis (1778_Kars) and C. roberti (1775_Trabzon). The map shows the 13 protein-coding, two rRNAs, 22 tRNAs genes and Dloop- OL regions in the mtDNA genome of the Chionomys species
FIGURE 6 in Liu, H.J., Ding, C.H., He, J., Cheng, J., Pei, L.Y. & Xie, L. (2018) Complete chloroplast genomes of Archiclematis, Naravelia and Clematis (Ranunculaceae), and their phylogenetic implications. Phytotaxa 343 (3): 214-226.
FIGURE 6. Phylogeny of Clematis s.l. species inferred from complete chloroplast genome sequences. Bayesian phylograms are shown with MP bootstrap values/PP values at each node.
FIGURE 4 in Complete chloroplast genomes of Archiclematis, Naravelia and Clematis (Ranunculaceae), and their phylogenetic implications
FIGURE 4. Sliding window analysis of the whole plastid genomes of eight Clematis s.l. samples. Lines parallel to the x-axis show the positions of the LSC, SSC, and IR regions. The vertical blue line shows the value of nucleotide diversity (Pi) in a sliding window analysis of window size 600 bp with step size 50 bp. The value is inserted at its mid-point.
FIGURE 3 in Complete chloroplast genomes of Archiclematis, Naravelia and Clematis (Ranunculaceae), and their phylogenetic implications
FIGURE 3. Sequence alignment of eight plastomes of Clematis s.l. in the mVISTA program. Clematis terniflora was used as a reference. A cut-off of 70% similarity was used for the plot. The Y-scale represents the percent similarity (50–100%). Blue represents coding regions, and pink represents non-coding regions.
FIGURE 1 in Complete chloroplast genomes of Archiclematis, Naravelia and Clematis (Ranunculaceae), and their phylogenetic implications
FIGURE 1. Map of the chloroplast genomes of Clematis s.l. Genes shown outside the circle are transcribed clockwise, whereas those inside the circle are transcribed counterclockwise. Genes belonging to different functional groups are colored. The dashed area in the inner circle indicates the GC content of the plastomes.
FIGURE 5 in Complete chloroplast genomes of Archiclematis, Naravelia and Clematis (Ranunculaceae), and their phylogenetic implications
FIGURE 5. Analyses of repeated sequences in Clematis s.l. chloroplast genomes. A: Number of each repeat type; B: frequency of direct repeats by length; C: frequency of reverse repeats by length; D: frequency of palindromic repeats by length; E: location of repeats.
FIGURE 2 in Complete chloroplast genomes of Archiclematis, Naravelia and Clematis (Ranunculaceae), and their phylogenetic implications
FIGURE 2. Comparison of the LSC, IRs and SSC borders among Clematis s.l. samples used in this study.
Figure 3 in Characterisation of the complete mitochondrial genome of the imperiled Pearl darter Percina aurora (Perciformes: Percidae)
Figure 3. Selective pressure analysis in the protein coding genes of Percina aurora. Top: KA value for each protein-coding gene. Middle: KS value for each protein-coding gene. Bottom: KA/KS ratio for each protein-coding gene.
Figure 1 in Characterisation of the complete mitochondrial genome of the imperiled Pearl darter Percina aurora (Perciformes: Percidae)
Figure 1. Circular representation of Percina aurora mitochondrial genome. Photo credit: United States Fish and Wildlife Service (used with permission).
Figure 4 in The complete mitochondrial genome of the leopard shark Triakis semifasciata (Triakidae)
Figure 4. Visualisation of the tRNA secondary structure encoded in the mitochondrial genome of the leopard shark Triakis semifasciata.
Figure 2 in The complete mitochondrial genome of the leopard shark Triakis semifasciata (Triakidae)
Figure 2. Codon usage in 13 protein-coding genes encoded in the mitochondrial genome of the leopard shark Triakis semifasciata.
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.