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312
datasets available to search
ShareScore release 0.9.0
Dataset results
312 results for “goat”
small RNA sequencing of goat mamamary gland cells samples from cirRNA modification groups
GEO Series GSE142578. Capra hircus. 8 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Airborne particulate matter from goat farm increases acute allergic airway responses in mice increases acute allergic airway responses in mice
GEO Series GSE148240. Mus musculus. 22 samples. Type: Expression profiling by high throughput sequencing.
Expression profiles of circRNAs in goat skeletal muscle development
GEO Series GSE200971. Capra hircus. 6 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Single-Nucleus Transcriptomic Atlas of Goat (Capra hircus) Ovarian Prolificacy
GEO Series GSE206398. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
small RNA sequencing of goat mamamary gland cells samples from different treatment groups
GEO Series GSE135793. Capra aegagrus. 10 samples. Type: Non-coding RNA profiling by high throughput sequencing.
MicroRNA-1 regulates goat uterine NK cells function by targeting tumor necrosis factor-like weak inducer of apoptosis (TWEAK)
GEO Series GSE144088. Capra hircus. 2 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Dataset with SNP genotypes for local goat breeds of Mongolia (PLINK format)
<p>SNP genotyping was performed with Goat 50K BeadChip (Illumina Inc., USA) containing ~60 000 SNP. Quality control was performed by setting a cutoff of 0.5 for the GenCall and GenTrain scores. SNP dataset was filtered to remove poorly genotyped individuals, loci genotyped in <90% of individuals and rare alleles using PLINK 1.9 (Chang et al. 2015) with geno 0.1 --mind 0.1 --maf 0.05 plink parameters. To ensure that our analysis would not be affected by the presence of SNP in strong linkage disequilibrium we also filtered data with --indep-pairwaise 50 5 0.2 PLINK filter. </p>
Genome-wide Characterization of Selection Signatures and Runs of Homozygosity in Ugandan Goat Breeds
<p><strong>ABSTRACT</strong></p> <p>Both natural and artificial selection are among the main driving forces shaping genetic variation across the genome of livestock species. Selection typically leaves signatures in the genome, which are often characterized by high genetic differentiation across breeds and/or a strong reduction in genetic diversity in regions associated with traits under intense selection pressure. In this study, we evaluated selection signatures and genomic inbreeding coefficients, based on runs of homozygosity (ROH), in six Ugandan goat breeds: Boer (n = 13), and the indigenous breeds Karamojong (n = 15), Kigezi (n = 29), Mubende (n = 29), Small East African (n = 29) and Sebei (n = 29). After genotyping quality control, 45,294 autosomal single nucleotide polymorphisms (SNPs) remained for further analyses. A total of 394 and 6 breed-specific putative selection signatures were identified across all breeds, based on the fixation index ( -values) and hapFLK statistics respectively. These regions were enriched with genes involved in signalling pathways associated directly or indirectly with environmental adaptation, such as immune response (e.g. <em>IL10RB</em> and <em>IL23A</em>), growth and fatty acid composition (e.g. <em>FGF9</em> and <em>IGF1</em>), and thermo-tolerance (e.g. <em>MTOR</em> and <em>MAPK3</em>). The study revealed little overlap in genomic regions under selection and generally did not display the typical classic selection signatures as expected due to the complex nature of the traits. In the Boer breed, candidate genes associated with production traits, such as body size and growth (e.g. <em>GJB2</em> and <em>GJA3</em>) were also identified. Furthermore, analysis of ROH in indigenous goat breeds showed very low levels of genomic inbreeding (with the mean per breed ranging from 0.8% to 2.4%), as compared to higher inbreeding in Boer (mean = 13.8%). And, short ROH were more frequent than long ROH, except in Karamojong, providing insight in the developmental history of these goat breeds. This study provides important insights into the effects of long-term selection in Boer and indigenous Ugandan goat breeds and its genetic. Our findings are of great relevance to the implementation of breeding programs and conservation of genetic resources, as well as their sustainable use and management.</p> <p> </p> <p> </p> <p> </p>
Goat Model for CML
GEO Series GSE17588. Homo sapiens; Capra hircus. 25 samples. Type: Expression profiling by array.
Analyses of lncRNA profiling during the development from pre-receptive to receptive phases in goat endometrium
GEO Series GSE86816. Capra hircus. 4 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Identification of genomic regions and candidate genes associated with body weight and body conformation traits in Karachai goats
<p>The objective of this study was to investigate the genomic regions and candidate genes related to body weight and body conformation traits in Karachai goats at age 8 months in Russia by using genome wide association study (GWAS), we genotyped 269 goats and 53347 informative SNPs. SNPs were identified for all traits studied at age 8 months: body weight (5 SNPs), withers height (7 SNPs), rump height (9 SNPs), body length (6 SNPs), chest perimeter (4 SNPs), chest witdth (30 SNPs), chest depth (1 SNPs) and Rump width (5 SNPs). The most significant number of candidate genes was identified at Chr13 (33 candidate genes for the 5 traits). The most significant genes for body weight are <em>CRADD, HMGA2, MSRB3, MAX, HACL1 and RAB15</em>, which are growth factors with high expression in cell growth and development in animal body. <em>APOB, PTPRK, BCAR1</em>, <em>AOAH and ASAH1</em> genes have been associated with withers height, rump height and body length, these genes regulate metabolism process in cells and are involved in various metabolic processes, including fatty acid metabolism and lipopolysaccharide catabolism. Also, <em>WDR70, ZBTB24 </em>and <em>SORCS3</em> genes were linked to chest width. <em>KCNG4</em> was associated with rump height, body length and chest perimeter. The identificated candidate genes can be used as a molecular marker for growth traits selection in goats, which increase genetic improvement in russian goat breeds.</p>
How to Get Your Goat: Automated Identification of Species from MALDI-ToF Spectra - MALDI-ToF dataset
<p>MALDI-ToF dataset relating to the journal article "How to Get Your Goat: Automated Identification of Species from MALDI-ToF Spectra" in <em>Bioinformatics</em>.</p>
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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.