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ShareScore release 0.9.0
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9 results for “Prunus armeniaca”
Prunus armeniaca SNPs dataset
<p>-"armeniaca.SNPs.vcf.gz": dataset including SNPs genotypes for 255 individuals of <em>Prunus armeniaca</em> from Central Asia, filtered from Groppi et al. 2021 (https://www.nature.com/articles/s41467-021-24283-6). </p> <p>-"P.armeniaca Q-values.xlsx": fastStructure Q-value assignment as obtained in Groppi et al. (2021) for each individual (indicated by unique labels in the first column). Q-value assignments to the two main Asian gene pools ("Northern" and "Southern" gene pools).</p> <p>This dataset was prepared in association with the manuscript:</p> <p>Gargiulo R., Decroocq V., González-Martínez S.C., Paz-Vinas I., Aury J-M., Lesur Kupin I., Plomion C., Schmitt S., Scotti I., Heuertz M. 2023. Estimation of contemporary effective population size in plant populations: limitations of genomic datasets. bioRxiv 2023.07.18.549323; doi: https://doi.org/10.1101/2023.07.18.549323</p> <p>See the analytical workflow at: https://github.com/Ralpina/Ne-plant-genomic-datasets/blob/main/README.md (https://doi.org/10.5281/zenodo.8134169)</p> <p> </p>
Fig. 7 in Transcriptome sequencing of the apricot (Prunus armeniaca L.) and identification of differentially expressed genes involved in drought stress
Fig. 7. Effects of control and drought stress on leaf microstructure of apricot. a, c, e, represent the leaf stomata, vertical section, and cuticle in the control group, respectively. b, d, f, represent the leaf stomata, vertical section, and cuticle in the drought stress group, respectively.
Fig. 4 in Transcriptome sequencing of the apricot (Prunus armeniaca L.) and identification of differentially expressed genes involved in drought stress
Fig. 4. KEGG enrichment of annotated DEGs in Treat versus Control. The Y-axis shows the KEGG pathway and the X-axis shows the Rich factor. This q value goes from purple to red, which means from 1 to 0. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Transcriptome sequencing of the apricot (Prunus armeniaca L.) and identification of differentially expressed genes involved in drought stress
Fig. 3. GO classifications of DEGs for Treat versus Control. The Y-axis represents the number of DEGs in a category. The BP, CC and MF represent biological process, cellular component and molecular function respectively.
Fig. 5. SSR motifs distribution. The X in Transcriptome sequencing of the apricot (Prunus armeniaca L.) and identification of differentially expressed genes involved in drought stress
Fig. 5. SSR motifs distribution. The X-axis is SSR type, the Y-axis value is the coordinate, the specific number of repetitions should correspond to the legend according to the color, and the Z-axis is the number of SSR. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Transcriptome sequencing of the apricot (Prunus armeniaca L.) and identification of differentially expressed genes involved in drought stress
Fig. 1. Gene Function Classification of the assembled unigenes. Unigenes with BLAST hits were classified into three major categories and 56 sub-categories in GO. The Y-axis shows the number of genes in each sub-category.
Fig. 6 in Transcriptome sequencing of the apricot (Prunus armeniaca L.) and identification of differentially expressed genes involved in drought stress
Fig. 6. Relative expression of con (control) and tre (treat) genes by qRT-PCR (A) and RNA-Seq (B).
Fig. 2 in Transcriptome sequencing of the apricot (Prunus armeniaca L.) and identification of differentially expressed genes involved in drought stress
Fig. 2. Comparison of expression of differential unigenes identified between Treat and Control.
Microarray analysis of differentially expressed genes engaged in fruit development between Prunus mume and Prunus armeniaca
GEO Series GSE37950. Prunus salicina; Prunus mume; Prunus persica; Prunus armeniaca. 8 samples. Type: Expression profiling by array.
ScienceDex guides
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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)
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.