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15,277 results for “GENETICS”
Figure 3. Exitianus pondus. A in Classical taxonomy, molecular phylogeny and genetic analysis of the genus Exitianus Ball, 1929 (Hemiptera: Cicadellidae: Deltocephalinae) from Egypt
Figure 3. Exitianus pondus. A. Habitus, dorsal view; B. Habitus, female ventral view; C. Habitus, male ventral view; D. Pronotum & scutellum; E. Face; F. Male genitalia (pygofer, subgenital plate, valva, styles and connective, aedeagus); G. Aedeagus, lateral view.
FIGURE 4 in One step closer but still far from solving the puzzle - The phylogeny of marine associated mites (Acari, Oribatida, Ameronothroidea) inferred from morphological and molecular genetic data
FIGURE 4 Bayesian inference topology based on 66 morphological traits of 102 oribatid mite species. Posterior probability values are shown near nodes. Photographs of selected species are given to provide an insight into the basic morphology of each larger group. *Photograph shows Tegeocranellus knysnaensis, this species was not used for the analyses but is given here to visualize the typical habitus of Tegeocranellus species.
FIGURE 3 in One step closer but still far from solving the puzzle - The phylogeny of marine associated mites (Acari, Oribatida, Ameronothroidea) inferred from morphological and molecular genetic data
FIGURE 3 One of 14 most parsimonious trees based on 66 characters or character states of 98 ameronothroid and four terrestrial oribatid mite species. Bootstrap values are shown near nodes. Colours refer to different families and are the same as in preceding figures.
FIGURE 1 in One step closer but still far from solving the puzzle - The phylogeny of marine associated mites (Acari, Oribatida, Ameronothroidea) inferred from morphological and molecular genetic data
FIGURE 1 Bayesian inference tree of marine associated Ameronothroidea and terrestrial outgroups based on 18S sequences. Posterior probabilities>0.9 are shown near nodes; abbreviations: PRT – Portugal, DE – Germany, DR – Dominican Republic, JP – Japan, TW – Taiwan, MY – Malaysia; families are given in different colours. Photographs of selected species are given to provide an insight into the basic habitus of each larger group.
FIGURE 2 in One step closer but still far from solving the puzzle - The phylogeny of marine associated mites (Acari, Oribatida, Ameronothroidea) inferred from morphological and molecular genetic data
FIGURE 2 Bayesian topology based on the combined data set of coi, D3 and 18S sequences. Posterior probabilities>0.9 are shown near nodes; abbreviations: PRT – Portugal, DE – Germany, DR – Dominican Republic, TW – Taiwan.
Climate adaptation and genetic differentiation in the mosquito species Culex tarsalis
<p>The increasing prevalence of vector-borne diseases around the world highlights the pressing need for an in-depth exploration of the genetic and environmental factors that shape the adaptability and widespread distribution of mosquito populations. This research focuses on <em>Culex tarsalis</em>, a principal vector for various viral diseases including West Nile Virus (WNV). Through the development of a new reference genome and the examination of Restriction-Site Associated DNA sequencing (RAD-seq) data from over 300 individuals and 28 locations, we demonstrate that variables such as temperature, evaporation rates, and the density of vegetation significantly impact the genetic makeup of <em>Cx. tarsalis</em> populations. Among the alleles most strongly associated with environmental factors is a nonsynonymous mutation in a key gene related to circadian rhythms. These results offer new insights into the mechanisms of spread and adaptation in a key North American vector species, which is poised to become a growing health threat to both humans and animals in the face of ongoing climate change.</p>
Figure 5 in Genetic difference between two Schistosoma japonicum isolates with contrasting cercarial shedding patterns revealed by whole genome sequencing
Figure 5. Gene ontology enrichment analysis of genes from genome regions with strong selective signals.
Figure 2 in Genetic difference between two Schistosoma japonicum isolates with contrasting cercarial shedding patterns revealed by whole genome sequencing
Figure 2. Box plots of diversity, Tajima's D of S. japonicum and their FST. (A) Nucleotide diversity estimated in 100-kb windows sliding in 10-kb steps throughout the genome. (B) Tajima's D estimated within a nonoverlapping 100-kb window throughout the genome. (C) pairwise FST computed in 100-kb windows sliding in 10-kb steps throughout the genome.
Figure 4 in Genetic difference between two Schistosoma japonicum isolates with contrasting cercarial shedding patterns revealed by whole genome sequencing
Figure 4. Distribution of p ratios (pST/pHX) and FST values calculated in 100-kb windows sliding in 10-kb steps throughout the genome. Data points colored red and blue were identified as selected regions in ST (red dots) and in HX (blue dots), respectively. These points correspond to the 5% left and right tails of the empirical p ratio distribution, where the p ratios are 0.092 and 1.643, respectively (vertical dashed lines), and the 5% right tail of the empirical FST distribution, where FST is 0.965 (horizontal dashed line).
Figure 3 in Genetic difference between two Schistosoma japonicum isolates with contrasting cercarial shedding patterns revealed by whole genome sequencing
Figure 3. Box plots of diversity and relationship of two sample groups. (A) Nucleotide diversity estimated in 100-kb windows sliding in 10-kb steps throughout the genome. (B) Tajima's D estimated within a nonoverlapping 100-kb window throughout the genome. (C) FST between computed in 100-kb windows sliding in 10-kb steps throughout the genome.
Figure 2 in Genetic structure of Trypanosoma congolense "forest type" circulating in domestic animals and tsetse flies in the South-West region of Cameroon
Figure 2. NJ Tree based on Cavalli-Sforza and Edwards chord distance matrix of T. congolense "forest type" circulating in tsetse flies and domestic animals of Fontem.
Dataset: Genetic Technologies Limited (GENE) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Fulgent Genetics, Inc. (FLGT) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Fig. 3 in Haplotype variation in the Physa acuta group (Basommatophora): genetic diversity and distribution in Serbia Abstract
Fig. 3: Haplotype networks from 43 Physa acuta group specimens, obtained using statistical parsimony (TCS). Circles represent specific haplotypes; the size of the circles reflects the number of individuals with a particular haplotype (not to scale); the dots between the circles represent mutational steps.
Fig. 2 in Haplotype variation in the Physa acuta group (Basommatophora): genetic diversity and distribution in Serbia Abstract
Fig. 2: Phylogenetic trees based on mt16S rDNA, obtained using the Maximum Likelihood (ML) method. Bootstrap values are indicated below the branches. Scale bar indicates the number of substitutions per site.
Dataset: SOPHiA GENETICS SA (SOPH) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Myriad Genetics, Inc. (MYGN) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Fig. 4 in Temporal And Spatial Pattern Of Genetic Differentiation In Isophya Kraussi (Orthoptera: Tettigonoidea) In Ne Hungary
Fig. 4. Results of the PCA analysis for the two samples collected in the Mogyoróskuti meadows in 1999 and in 2001; i.e. temporalvariation within a population. The points represent the genotypic
Fig. 3 in Temporal And Spatial Pattern Of Genetic Differentiation In Isophya Kraussi (Orthoptera: Tettigonoidea) In Ne Hungary
Fig. 3. Results of the PCA analysis for the three distinct populations; i.e. spatial variation (Karst region: Mogyoróskuti meadows, Haragistya; Zemplén Mts.: Gyertyánkúti meadows). The points represent
Fig. 1 in Temporal And Spatial Pattern Of Genetic Differentiation In Isophya Kraussi (Orthoptera: Tettigonoidea) In Ne Hungary
Fig. 1. Sample sites. Aggtelek Karst region: Haragistya near Aggtelek (1), Mogyoróskuti meadows near Jósvafő (2); Zemplén Mts.: Gyertyánkúti meadows near Telkibánya (3)
ScienceDex guides
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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.