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70 results for “haplotype networks”

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zenodo32/100

FIGURE 5. Haplotype network for Austroniscus brandtae n in Combining morphological and mitochondrial DNA data to describe a new species of Austroniscus Vanhöffen, 1914 (Isopoda, Janiroidea, Nannoniscidae) linking abyssal and hadal depths of the Puerto Rico Trench

FIGURE 5. Haplotype network for Austroniscus brandtae n. sp. for the mitochondrial ribosomal large subunit 16S. Sampled haplotypes are shown as solid circles with circle area proportional to the number of individuals possessing that haplotype; black circles represent unsampled haplotypes required to connect the network. The number of mutational steps between haplotypes are shown along connecting lines. The colours represent sampling locations as indicated in the legend.

opennotspecifiedMay 2023View details →
zenodo32/100

FIGURE 4. Haplotype network for Austroniscus brandtae n in Combining morphological and mitochondrial DNA data to describe a new species of Austroniscus Vanhöffen, 1914 (Isopoda, Janiroidea, Nannoniscidae) linking abyssal and hadal depths of the Puerto Rico Trench

FIGURE 4. Haplotype network for Austroniscus brandtae n. sp. for COI (cytochrome c oxidase subunit I). Sampled haplotypes are shown as solid circles with circle area proportional to the number of individuals possessing that haplotype; black circles represent unsampled haplotypes required to connect the network. The number of mutational steps between haplotypes are shown along connecting lines. The colours represent sampling locations as indicated in the legend.

opennotspecifiedMay 2023View details →
dryad32/100

Data from: PopART: full-feature software for haplotype network construction

Open the record for dataset details and reuse information.

publicMay 2016View details →
zenodo28/100

Figure 2. CAD haplotype network. TCS Network based off 814 in Low Variation in Nuclear and Mitochondrial DNA Inhibits Resolution of Invasion Pathways across the Pacific for the Coconut Rhinoceros Beetle (Scarabeidae: Oryctes rhinoceros)

Figure 2. CAD haplotype network. TCS Network based off 814 base pairs of the CAD gene region from a total of 117 samples (8 to 39 from any given location) representing 234 total haplotypes. Hash marks represent a single base pair change. A PHASE algorithm was used to generate haplotypes from ambiguities present in the sequence data of a multi-copy nuclear gene, resulting in twice as many haplotypes as samples.

opencc-by-4.0Dec 2016View details →
geo24/100

Enhancer histone-QTLs are enriched on autoimmune risk haplotypes and influence gene expression within chromatin networks.

GEO Series GSE116193. Homo sapiens. 112 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenJun 2018View details →
zenodo24/100

Fig. 14 in NGS-barcodes, haplotype networks combined to external morphology help to identify new species in the mangrove genus Ngirhaphium Evenhuis & Grootaert, 2002 (Diptera: Dolichopodidae: Rhaphiinae) in Southeast Asia

Fig. 14. Maximum likelihood tree of Ngirhaphium based on NGS barcodes (COI, 313bp).

opencc-by-4.0Nov 2019View details →
zenodo20/100

Fig. 5 a 95 in Using haplotype networks, estimation of gene flow and phenotypic characters to understand species delimitation in fungi of a predominantly Antarctic Usnea group (Ascomycota, Parmeliaceae)

Fig. 5 a 95% probability haplotype network for the U. sphacelata group based on a combined dataset of ribosomal IGS and ITS and protein-coding RPB1 sequences. The 3-step nesting level is shown. Haplotypes are represented by colored circles according to the sample localities. The circle size is proportional to the number of sequences sharing a haplotype, except for haplotype H5 comprising too many

opennotspecifiedDec 2011View details →
zenodo20/100

Fig. 7 Haplotype network for 20 in New insights into the phylogeny and taxonomy of Chinese species of Gagea (Liliaceae)-speciation through hybridization

Fig. 7 Haplotype network for 20 cpDNA haplotypes (psbA- trnH IGS+trnL-trnF IGS) including 33 sequences of representatives of Gagea sect. Minimae: G. confusa (con), G. davlianidzeae (dav), G. filiformis (fil), G. granulosa (gran), G. minima (min), and G. nigra (nig, for further details, see Appendix 1 and Table 2). Circle size corresponds to the number of taxa possessing the haplotype. Empty circles refer to missing intermediates not found in the analyzed sequences

opennotspecifiedSep 2011View details →
zenodo20/100

Fig. 3 Haplotype network derived from the Cpunl-1 in Genetic and morphological divergence among Gravel Bank Grasshoppers, Chorthippus pullus (Acrididae), from contrasting environments

Fig. 3 Haplotype network derived from the Cpunl-1 data set; alleles coded as in Table 2. Pie diameters proportional to number of individuals carrying that particular haplotype (see inlet at bottom right); numbers next to pies or pie slices indicate how many individuals carried that particular haplotype. Shading of pies and slices (see inlet at top right) reflects frac- tions of haplotypes contributed by the different populations; Bavarian and eastern German (Brandenburg + Saxony) populations presented as two pools based on pairwise FST values (no significant differentiation detected within either region). Solid dots represent missing haplotypes; dashed lines indicate that multiple connections among haplotypes are possible but not favored

opennotspecifiedSep 2010View details →
zenodo20/100

Fig. 8 The haplotype network for Ceratozamia species. A CyAG. B matK. C in Species delimitation in Ceratozamia (Zamiaceae) from Southwestern Mexico, in light of reproductive and climatic diversification

Fig. 8 The haplotype network for Ceratozamia species. A CyAG. B matK. C ITS region. The area of the circles is proportional to haplotype frequency

opennotspecifiedDec 2022View details →

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Allen Brain Atlas

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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.

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Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record