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8 results for “3R”
Drosophila simulans LD results from PLINK for Chromosome 3R
<p><strong>Abstract</strong>: Heritable phenotypic variation in natural populations exceeds the levels predicted under mutation-selection balance where purifying selection removes variation. Balancing selection, inefficient or weak selection, polygenic adaptation, and non-equilibrium populations are all possible explanations for excess variation. Yet, available genomic data indicate an abundance of directional selection. One potential explanation is that fleeting directional selection drives beneficial mutations to high frequency in rapid waves resulting in many intermediate frequency haplotypes. This hypothesis is supported by the genomic data from a panel of 170 D. simulans genotypes established from a single stable population which show evidence for an abundance of incomplete soft sweeps. Demography, admixture, and balancing selection cannot entirely explain the patterns in these data, while transient selective sweeps can account for all the patterns of variation observed in this population. One interpretation is that constant environmental shifts rapidly change the optimal phenotype within Drosophila populations, leaving a signature of adaptive responses.</p> <p><strong>Material type</strong>: Text files of pairwise linkage disequilibrium (LD) calculations from Plink (v). </p> <p><strong>Larger Body of Work</strong>: Pervasive incomplete selective sweeps in D. simulans account for excess variation.</p> <p><strong>Related publications and datasets</strong>: Drosophila simulans VCF, LD results from chromosomes 2L, 2R, 3L, 4, and X.</p>
Data from: Parallel effects of the inversion In(3R)Payne on body size across the North American and Australian clines in Drosophila melanogaster
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3R Rehabilitation Management of COVID-19 Survivors
ClinicalTrials.gov study NCT04892979. IPD Sharing: NO. Countries: 1. Publications: 0.
Expression data from 4T1 parental breast cancer cell line and 4T1-3R liver metastatic cells (4T1-3R_L).
GEO Series GSE181102. Mus musculus. 2 samples. Type: Expression profiling by array.
Aluminum stress study in wheat and wheat-rye addition lines 3R and 6R.
GEO Series GSE96739. Triticum aestivum. 18 samples. Type: Expression profiling by array.
3R information retrieval self-reports by aspiring directors of animal experimentation
<p>This dataset (qualitative data) consists in 215 anonymized pdfs of 3R information retrieval self-reports completed by aspiring directors of animal experimentation before 5 educational sessions on information retrieval (2012 to 2015). Visible confidential data, name, address, institution or industry, lab name, email, phone numbers were suppressed with Adobe Pro XI Redaction tool, as well hidden data, such as metadata with sanitization tool.</p> <p>In 2012, 2013, 2014, 2015, aspiring directors of animal experimentation were assigned a 3R information retrieval homework prior attending a mandatory 3 hours face-to-face information retrieval seminar. Participants had to send back self-reports to course organizer of the training module (Module-2), the one week mandatory course for aspiring directors of animal experimentation located in Switzerland. In 2015, before performing self-report, aspiring directors made an online test about basics of information retrieval, 3Rs, and open access. They should obtain 60% of right answers and forwarded the automatic generated certificate to course organizer. Researchers could answer the questions with their personal knowledge or find them in commented presentations and screen castings available on 3Rupdate.ch plateform.</p> <p>Homework were not designed originally to analyze information retrieval skills. The original goal for the homework was to draw more attention and retention from the researchers during the 3 hours seminar. It was thought that if researchers faced difficulties in searching 3R information, it would generate additional motivation for the course. Therefore, self-reports were not marked; no direct individual feed-back was given to the participants, but the face-to-face session was a kind of homework correction, a way to give tips about 3R information retrieval in order to improve their searches. The second goal was to allow researchers to think about how they selected and handled search tools, instead of relying on closely related peers and personal knowledge to gather information on the research subject, an approach that is well known and natural: with time, researchers rely much more on their own network of peers rather than on online information resources to follow the latest development in their field.</p> <p>The homework topic was related to study model selection. The choice of a study model is crucial from a 3R point of view, but also for later scientific result validity: it is not an easy task for fundamental researchers to follow new animal models available on market. Neither is the one to follow new in vitro alternatives, such as 3D tissue cultures, stem cells, and <em>in vitro</em> screening techniques for fundamental researchers using animal experimentation.</p> <p>The case study was: Which mice, or non-vertebrate, or in vitro models are used to study Huntington disease?</p> <p>Homework structure consisted of a brief theory on 3R information retrieval, suggested search tools to be used, and 3 assignments. The first assignment was to perform a search on the subject, the second one to report best searches, namely keywords and search strings used in two selected tools with corresponding relevant references and generated bibliography. The third assignment invited researchers to comment freely about their tool choices, tool differences, and report self-criticism on search strategy, submitting better formulation of the initial query for a better information retrieval process. </p> <p> </p>
doi_dedup___::a4ecbfb24c1579c2b55de77d2cf8aa46
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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.