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62 results for “Genetic resolution”
Figure 4 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 239-272. https://doi.org/10.3897/zookeys.540.10058
Figure 4 - Simplified network of seven Bactrocera carambolae populations, and the sequential forms of cluster. The network was constructed using eight SSRs. Scanning was done for decreasing thresholds A is the fully connected network B is the percolation threshold (Dp = 0.52, with all links corresponding to distances superior to Dp excluded). JK plays an important role connecting between native and introduced populations C–D are the lower thresholds chosen (thr = 0.40 and 0.15, respectively) to reveal sub-structured network.
Figure 3 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 239-272. https://doi.org/10.3897/zookeys.540.10058
Figure 3 - The individual admixture plot for K = 3. Each bar reveals a single individual. Each color of bars represents each genetic cluster. Samples of Bactrocera carambolae belong to clusters 2 and 3 (green and blue, respectively) while samples of Bactrocera dorsalis belong to cluster 1 (red). Potential hybrids have a proportion of genetic cluster (Q) between 0.100 to 0.900 (0.100 ≤ Q ≤ 0.900) as identified with asterisk (*).
Figure 1 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 239-272. https://doi.org/10.3897/zookeys.540.10058
Figure 1 - Sampling collections of Bactrocera carambolae and Bactrocera dorsalis in this study. Seven populations of Bactrocera carambolae (blue dots) were collected from Southeast Asia and Suriname. Three populations of Bactrocera dorsalis (red dots) were sampled from East and Southeast Asia. Two other unidentified populations (purple dots) were included. Information for each population is described in Table 1.
Figure 6 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 239-272. https://doi.org/10.3897/zookeys.540.10058
Figure 6 - Simplified network of the SY5 strain and wild populations, and the sequential disconnection of the network. The network was constructed using seven SSRs. Scanning was done for decreasing thresholds A is the fully connected network B is the percolation threshold (Dp = 0.23, with all links corresponding to distances superior to Dp excluded). DP, JK, and NT are connecting between Bactrocera carambolae and Bactrocera dorsalis groups C is the lowest threshold (thr = 0.15). Red dashed lines with number are corresponded to the threshold values, revealing serial disconnection of the network.
Figure 2 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 239-272. https://doi.org/10.3897/zookeys.540.10058
Figure 2 - Three-dimensional plot of Principal Coordinate Analysis (PCoA) and STRUCTURE analysis. A the planes of the first three principal coordinates explain 43.65%, 20.13%, and 16.91% of total genetic variation, respectively, for seven Bactrocera carambolae populations using eight SSRs B the planes of the first three principal coordinates explain 33.05%, 23.17%, and 15.87%, respectively, for Bactrocera carambolae and Bactrocera dorsalis groups using eight SSRs C the planes of the first three principal coordinates explain 30.50%, 22.14%, and 18.53%, respectively, for the SY5 strain and wild populations using seven SSRs. Pie graphs, consisting of different colored sections, represent co-ancestor distribution of 185, 289, and 321 individuals in A two, B three, and C two hypothetical clusters, respectively.
Figure 3 from: Manni M, Lima KM, Guglielmino CR, Lanzavecchia SB, Juri M, Vera T, Cladera J, Scolari F, Gomulski L, Bonizzoni M, Gasperi G, Silva JG, Malacrida AR (2015) Relevant genetic differentiation among Brazilian populations of Anastrepha fraterculus (Diptera, Tephritidae). In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 157-173. https://doi.org/10.3897/zookeys.540.6713
Figure 3 - Correlation of FST values with the geographic distances (upper plot) and altitude differences (bottom plot) among the 6 Brazilian samples of Anastrepha fraterculus.
Figure 2 from: Manni M, Lima KM, Guglielmino CR, Lanzavecchia SB, Juri M, Vera T, Cladera J, Scolari F, Gomulski L, Bonizzoni M, Gasperi G, Silva JG, Malacrida AR (2015) Relevant genetic differentiation among Brazilian populations of Anastrepha fraterculus (Diptera, Tephritidae). In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 157-173. https://doi.org/10.3897/zookeys.540.6713
Figure 2 - Two-dimensional plot of Principal Coordinate Analysis (PCoA) based on similarity matrix derived from Anastrepha fraterculus microsatellites data. The Morphotype classification (Hernández-Ortiz et al. 2012), relative to each sample is also reported.
Figure 2 from: Virgilio M, Delatte H, Nzogela YB, Simiand C, Quilici S, De Meyer M, Mwatawala M (2015) Population structure and cryptic genetic variation in the mango fruit fly, Ceratitis cosyra (Diptera, Tephritidae). In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 525-538. https://doi.org/10.3897/zookeys.540.9618
Figure 2 - Individual Bayesian assignments. STRUCTURE sequential individual assignments of 348 specimens of Ceratitis cosyra from 13 African countries.
Figure 1 from: Virgilio M, Delatte H, Nzogela YB, Simiand C, Quilici S, De Meyer M, Mwatawala M (2015) Population structure and cryptic genetic variation in the mango fruit fly, Ceratitis cosyra (Diptera, Tephritidae). In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 525-538. https://doi.org/10.3897/zookeys.540.9618
Figure 1 - Unconstrained and constrained ordination. Principal Component Analysis (PCA) and Discriminant Analysis of Principal Components (DAPC) of 348 Ceratitis cosyra microsatellite genotypes. Specimen groups are labelled inside their 95% inertia ellipses and genotypes are connected to the corresponding group centroids.
Data from: Mapping migration in a songbird using high-resolution genetic markers
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Identifying non-genetic determinants of malignant clonal fitness at single cell resolution (primary leukaemia barcode-seq)
GEO Series GSE161657. Mus musculus; synthetic construct. 14 samples. Type: Other.
Genetic interaction mapping and exon-resolution functional genomics with a hybrid Cas9-Cas12a platform
GEO Series GSE144281. Homo sapiens; Mus musculus. 14 samples. Type: Other.
Spatiotemporal and genetic cell lineage tracing of endodermal organogenesis at single-cell resolution [Smart-seq3-RNA-seq-add]
GEO Series GSE277789. Mus musculus. 830 samples. Type: Expression profiling by high throughput sequencing.
Identifying non-genetic determinants of malignant clonal fitness at single cell resolution [chemo scRNAseq]
GEO Series GSE186305. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing; Other.
Identifying non-genetic determinants of malignant clonal fitness at single cell resolution (retransplant barcode-seq)
GEO Series GSE161669. Mus musculus. 10 samples. Type: Other.
Identifying non-genetic determinants of malignant clonal fitness at single cell resolution (NSG vs. BL6 barcode-seq)
GEO Series GSE161662. Mus musculus. 13 samples. Type: Other.
Embryo-scale reverse genetics at single-cell resolution
GEO Series GSE202639. Danio rerio. 8 samples. Type: Expression profiling by high throughput sequencing.
Identifying non-genetic determinants of malignant clonal fitness at single cell resolution [cell of origin barcode-seq]
GEO Series GSE186303. Mus musculus. 96 samples. Type: Other.
Identifying non-genetic determinants of malignant clonal fitness at single cell resolution (clonal competition barcode-seq)
GEO Series GSE161672. Mus musculus. 39 samples. Type: Other.
Identifying non-genetic determinants of malignant clonal fitness at single cell resolution [retransplant scRNAseq]
GEO Series GSE186306. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
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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)
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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.