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782 results for “Conflict”
Transcription–replication conflicts underlie sensitivity to PARP inhibitors
GEO Series GSE220223. Homo sapiens. 19 samples. Type: Other.
CDK12 prevents MYC-induced transcription-replication conflicts [EdU-seq]
GEO Series GSE236550. Homo sapiens. 12 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
A genetic basis for a postmeiotic X vs. Y chromosome intragenomic conflict in the mouse
GEO Series GSE39109. Mus musculus. 13 samples. Type: Expression profiling by array.
Combinatorial Conflicting Homozygosity (CCH) analysis enables the rapid identification of shared genomic regions in the presence of multiple phenocopies
GEO Series GSE65312. Homo sapiens. 17 samples. Type: Genome variation profiling by SNP array; SNP genotyping by SNP array.
Data from: Sexual conflict over remating interval is modulated by the sex peptide pathway
Sexual conflict, in which the evolutionary interests of males and females diverge, shapes the evolution of reproductive systems across diverse taxa. Here, we used the fruit fly to study sexual conflict in natural, three-way interactions comprising a female, her current and previous mates. We manipulated the potential for sexual conflict by using sex peptide receptor (SPR) null females and by varying remating from 3 to 48 h, a period during which natural rematings frequently occur. SPR-lacking females do not respond to sex peptide (SP) transferred during mating and maintain virgin levels of high receptivity and low fecundity. In the absence of SPR, there was a convergence of fitness interests, with all individuals gaining highest productivity at 5 h remating. This suggests that the expression of sexual conflict was reduced. We observed an unexpected second male-specific advantage to early remating, resulting from an increase in the efficiency of second male sperm use. This early window of opportunity for exploitation by second males depended on the presence of SPR. The results suggest that the SP pathway can modulate the expression of sexual conflict in this system, and show how variation in the selective forces that shape conflict and cooperation can be maintained.
Data from: Conflict bear translocation: Investigating population genetics and fate of bear translocation in Dachigam National Park, Jammu and Kashmir, India
The Asiatic black bear population in Dachigam landscape, Jammu and Kashmir is well recognized as one of the highest density bear populations in India. Increasing incidences of bear-human interactions and the resultant retaliatory killings by locals have become a serious threat to the survivorship of black bears in the Dachigam landscape. The Department of Wildlife Protection in Jammu and Kashmir has been translocating bears involved in conflicts, henceforth 'conflict bears' from different sites in Dachigam landscape to Dachigam National Park as a flagship activity to mitigate conflicts. We undertook this study to investigate the population genetics and the fate of bear translocation in Dachigam National Park. We identified 109 unique genotypes in an area of ca. 650 km2 and observed bear population under panmixia that showed sound genetic variability. Molecular tracking of translocated bears revealed that mostly bears (7 out of 11 bears) returned to their capture sites, possibly due to homing instincts or habituation to the high quality food available in agricultural croplands and orchards, while only four bears remained in Dachigam National Park after translocation. Results indicated that translocation success was most likely to be season dependent as bears translocated during spring and late autumn returned to their capture sites, perhaps due to the scarcity of food inside Dachigam National Park while bears translocated in summer remained in Dachigam National Park due to availability of surplus food resources. Thus, the current management practices of translocating conflict bears, without taking into account spatio-temporal variability of food resources in Dachigam landscape seemed to be ineffective in mitigating conflicts on a long-term basis. However, the study highlighted the importance of molecular tracking of bears to understand their movement patterns and socio-biology in tough terrains like Dachigam landscape.
Data from: Analysis of phylogenomic datasets reveals conflict, concordance, and gene duplications with examples from animals and plants
Background: The use of transcriptomic and genomic datasets for phylogenetic reconstruction has become increasingly common as researchers attempt to resolve recalcitrant nodes with increasing amounts of data. The large size and complexity of these datasets introduce significant phylogenetic noise and conflict into subsequent analyses. The sources of conflict may include hybridization, incomplete lineage sorting, or horizontal gene transfer, and may vary across the phylogeny. For phylogenetic analysis, this noise and conflict has been accommodated in one of several ways: by binning gene regions into subsets to isolate consistent phylogenetic signal; by using gene-tree methods for reconstruction, where conflict is presumed to be explained by incomplete lineage sorting (ILS); or through concatenation, where noise is presumed to be the dominant source of conflict. The results provided herein emphasize that analysis of individual homologous gene regions can greatly improve our understanding of the underlying conflict within these datasets. Results: Here we examined two published transcriptomic datasets, the angiosperm group Caryophyllales and the aculeate Hymenoptera, for the presence of conflict, concordance, and gene duplications in individual homologs across the phylogeny. We found significant conflict throughout the phylogeny in both datasets and in particular along the backbone. While some nodes in each phylogeny showed patterns of conflict similar to what might be expected with ILS alone, the backbone nodes also exhibited low levels of phylogenetic signal. In addition, certain nodes, especially in the Caryophyllales, had highly elevated levels of strongly supported conflict that cannot be explained by ILS alone. Conclusion: This study demonstrates that phylogenetic signal is highly variable in phylogenomic data sampled across related species and poses challenges when conducting species tree analyses on large genomic and transcriptomic datasets. Further insight into the conflict and processes underlying these complex datasets is necessary to improve and develop adequate models for sequence analysis and downstream applications. To aid this effort, we developed the open source software phyparts (https://bitbucket.org/blackrim/phyparts), which calculates unique, conflicting, and concordant bipartitions, maps gene duplications, and outputs summary statistics such as internode certainy (ICA) scores and node-specific counts of gene duplications.
Data from: Optimizing the genetic composition of a translocation population: incorporating constraints and conflicting objectives
Translocations of threatened species can reduce the risk of extinction from a catastrophic event. For plants, translocation consists of moving individuals, seeds, or cuttings from a native (source) population to a new site. Ideally a translocation population would be genetically diverse and consist of fit founding individuals. In practice, there are challenges to designing such a population, including constraints on the availability of material, and tradeoffs between different goals. We present an approach for designing a translocation population that identifies sets of founders that are optimized according to multiple criteria (e.g., genetic diversity), while also conforming to constraints on the representation of different founders (e.g., propagation success). It uses flexible inputs, including SNP genotypes, matrices of similarity between individuals, and vectors of phenotype data. We apply the approach to a critically endangered plant, Hibbertia puberula subsp. glabrescens (Dilleniaceae), which was genotyped at thousands of SNP loci. The goals of minimizing genetic similarity among the founding individuals and maximizing genetic diversity were largely complementary – populations optimized for one of these criteria were near-optimal for the other. We also performed analyses in which we minimized genetic similarity among founding individuals while imposing selection (against hypothetical deleterious alleles, and against undesirable phenotypes, respectively), and here characterized sharp tradeoffs. This is useful in allowing the benefits of selection to be weighed against 'costs' in terms of genetic similarity. In sum, we present an approach for designing a translocation population that allows flexible inputs, the imposition of realistic constraints, and examination of conflicting goals.
Figure 2 from: Becker M, Zielske S, Haase M (2016) Conflict of mitochondrial phylogeny and morphology-based classification in a pair of freshwater gastropods (Caenogastropda, Truncatelloidea, Tateidae) from New Caledonia. ZooKeys 603: 17-32. https://doi.org/10.3897/zookeys.603.9144
Figure 2 - Hemistomia fabrorum, topotype. A Whole shell B Longitudinal section.
Figure 4 from: Becker M, Zielske S, Haase M (2016) Conflict of mitochondrial phylogeny and morphology-based classification in a pair of freshwater gastropods (Caenogastropda, Truncatelloidea, Tateidae) from New Caledonia. ZooKeys 603: 17-32. https://doi.org/10.3897/zookeys.603.9144
Figure 4 - Seventeen landmarks placed on a shell of Hemistomia fabrorum from population 39.
The Impact of War-Related Pollution on Public Health: Identifying Associated Health Conditions in Conflict Zones, Sudan 2025
ClinicalTrials.gov study NCT07194434. IPD Sharing: NO. Countries: 1. Publications: 0.
Exercise Intervention on Conflict Monitoring in Children With Attention-deficit Hyperactivity Disorder
ClinicalTrials.gov study NCT04112758. IPD Sharing: NO. Countries: 1. Publications: 0.
Effectiveness of a Community - Based Cross-sector Network for the Management of Mental Health Problems and Disorders Associated With Forced Displacement Due to Armed Conflict in the Municipality of So
ClinicalTrials.gov study NCT03839225. IPD Sharing: Not stated. Countries: 1. Publications: 0.
GEM: Impact of a Video Education Tool on Decisional Conflict Among Prenatal Patients
ClinicalTrials.gov study NCT06771453. IPD Sharing: NO. Countries: 1. Publications: 0.
Call for Life: Exploring mHealth Solutions for Enhancing Childhood Vaccinations Among Displaced Children in Conflict-affected Settings of Nigeria
ClinicalTrials.gov study NCT07154836. IPD Sharing: YES. Countries: 1. Publications: 0.
Interactive Informed Consent and Decision Conflict
ClinicalTrials.gov study NCT05980078. IPD Sharing: NO. Countries: 1. Publications: 0.
Effectiveness of Conflict-of-interest Disclosures on Trust, Credibility and Transparency When Displayed on Social Media Posts From Registered Dietitians
ClinicalTrials.gov study NCT06697171. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Pathways to Improved Adolescent Mental Health in Conflict Affected Families
ClinicalTrials.gov study NCT05763719. IPD Sharing: YES. Countries: 1. Publications: 0.
Using Decision Aids to Reducing Decision Conflict in Angiography Patients for Choosing Hemostasis
ClinicalTrials.gov study NCT03995381. IPD Sharing: NO. Countries: 1. Publications: 0.
The Conflicts of Ethics and Law on Patient's Surrogate
ClinicalTrials.gov study NCT01267890. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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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.