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.
17
datasets available to search
ShareScore release 0.9.0
Dataset results
17 results for “Multi-gene analysis”
FIGURE 1 in South American Fomitiporia (Hymenochaetaceae, Basidiomycota) 'jump on' exotic living trees revealed by multi-gene phylogenetic analysis
FIGURE 1. One of the five 50% majority-rule consensus trees from Bayesian inference of combined ITS, nLSU and tef1-α sequences. BPP is shown above branches. Brown boxes shows two sister clades: Fomitiporia neotropica and Fomitiporia impercepta, clustered together (BPP=0.77). Exotic trees are noted in red and native trees in green. T=type, ARG=Argentina, GUF=French Guiana, BRA=Brasil.
FIGURE 2 in South American Fomitiporia (Hymenochaetaceae, Basidiomycota) 'jump on' exotic living trees revealed by multi-gene phylogenetic analysis
FIGURE 2. Fomitiporia impercepta (CORDC00005289): a. pore surface; b. tube layers. Fomitiporia neotropica (CORDC00005290): c. pore surface; d. tube layers.
FIGURE 1 in A new species of Coccomyces on Cunninghamia lanceolata and its phylogenetic placement based on multi-gene analysis
FIGURE 1. Phylogenetic tree generated from maximum parsimony analysis of the combined ITS rDNA, LSU rDNA and mtSSU rDNA sequences, using Lophodermium piceae and Lirula microspora as the outgroups. Bootstrap values of maximum parsimony more than 70% are shown above the respective branches. Bayesian posterior probabilities more than 0.95 are marked below the branches.
FIGURE 3 in A new species of Coccomyces on Cunninghamia lanceolata and its phylogenetic placement based on multi-gene analysis
FIGURE 3. Coccomyces anhuiensis (Holotype, BJTC 201610): A. Ascoma in median vertical section; B. Detailed structure of an ascoma in vertical section; C. Paraphyses, discharged ascospores, mature asci with ascospores, and an empty ascus after ascospore discharged. D. Conidiomata in median vertical section.
FIGURE 2 in A new species of Coccomyces on Cunninghamia lanceolata and its phylogenetic placement based on multi-gene analysis
FIGURE 2. Coccomyces anhuiensis (Holotype, BJTC 201610) on Cunninghamia lanceolata: A. Ascomata on nature substrate; B. Mature ascoma observed under a dissecting microscope; C. Immature ascomata.
FIGURE 9 in Multi-gene analysis of Pseudocercospora spp. from Iran
FIGURE 9. Pseudocercospora sp. B. a–b. Leaf spots. c–d. Fasciculate conidiophores. e–g. Conidia. Scale bars = 10 µm.
FIGURE 10. Pseudocercospora vitis. a in Multi-gene analysis of Pseudocercospora spp. from Iran
FIGURE 10. Pseudocercospora vitis. a. Leaf spots on upper and lower leaf surface. b, c. Synnematal fascicles with conidiophores and conidiogenous cells. d–g. Conidia. Scale bars = 10 µm.
FIGURE 8 in Multi-gene analysis of Pseudocercospora spp. from Iran
FIGURE 8. Pseudocercospora sp. A. a. Leaf spots. b–e. Fasciculate conidiophores with some conidiophores reduced to conidiogenous cells. f–j. Conidia. Scale bars = 10 µm.
FIGURE 4. Pseudocercospora mazandaranensis. a. Leaf spots. b in Multi-gene analysis of Pseudocercospora spp. from Iran
FIGURE 4. Pseudocercospora mazandaranensis. a. Leaf spots. b. Close-up of leaf spot with fruiting. c–d. Fasciculate conidiophores. e. Branched conidiophores. f–i. Conidia. Scale bars = 10 µm.
FIGURE 7. Pseudocercospora sophoricola. a. Leaf spots. b. Globular stromata. c–e in Multi-gene analysis of Pseudocercospora spp. from Iran
FIGURE 7. Pseudocercospora sophoricola. a. Leaf spots. b. Globular stromata. c–e. Fasciculate conidiophores reduced to conidiogenous cells. f–l. Conidia. Scale bars = 10 µm.
FIGURE 6. Pseudocercospora punicae. a, b. Leaf spots. c. Fruit spot. d–f. Fasciculate conidiophores. g–i in Multi-gene analysis of Pseudocercospora spp. from Iran
FIGURE 6. Pseudocercospora punicae. a, b. Leaf spots. c. Fruit spot. d–f. Fasciculate conidiophores. g–i. Conidia. Scale bars = 10 µm.
FIGURE 3. Pseudocercospora atromarginalis. a in Multi-gene analysis of Pseudocercospora spp. from Iran
FIGURE 3. Pseudocercospora atromarginalis. a. Leaf spots on upper and lower leaf surface. b–c. Fasciculate conidiophores. d–g. Conidia. Scale bars = 10 µm.
FIGURE 5. Pseudocercospora norchiensis. a. Leaf spots. b–c. Fasciculate conidiophores. d–g in Multi-gene analysis of Pseudocercospora spp. from Iran
FIGURE 5. Pseudocercospora norchiensis. a. Leaf spots. b–c. Fasciculate conidiophores. d–g. Conidia. Scale bars = 10 µm.
FIGURE 2. A in Multi-gene analysis of Pseudocercospora spp. from Iran
FIGURE 2. A Bayesian inference phylogenetic tree of 59 isolates of Pseudocercospora. The tree was built using concatenated sequences of the ITS, ACT and TEF1-α loci, each with a separate model of DNA evolution. Species clades from Iran are indicated in green coloured blocks and species names in black text. Culture accession numbers are listed along with host plant (orange text) and place of origin (dark blue text). The tree was rooted to Passalora eucalypti (CBS 111318). Bayesian posterior probabilities ≥ 0.95 are indicated with colourcoded branches and scale bar indicates number of expected changes per site.
FIGURE 1 in Multi-gene analysis of Pseudocercospora spp. from Iran
FIGURE 1. Consensus phylogram (50 % majority rule) of 2 002 trees resulting from a Bayesian analysis of LSU sequence alignment using MrBayes v.3.2.1. The scale bar indicates 0.1 expected changes per site. Hosts and place of origin of the isolates in this study are indicated in orange and dark blue text, respectively. The tree was rooted to Cladosporium herbarum (GenBank accession DQ678074).
Systematic design and functional analysis of artificial microRNAs as an approach for multi-gene targeting
GEO Series GSE50249. Homo sapiens. 15 samples. Type: Expression profiling by array.
Characterization and gene expression analysis of the cir multi-gene family of Plasmodium chabaudi chabaudi (AS)
GEO Series GSE33333. Plasmodium chabaudi chabaudi. 12 samples. Type: Expression profiling by array.
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.