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1,072 results for “Pigs”

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Cre Expression in Control Tissues of the PTF1a Pig

<p>Immunohistochemistry (IHC) analysis of the stomach, colon, lung, muscle, and duodenum tissues from PTF1a-Cre pig reveals an absence of Cre protein expression.</p>

opencc-by-4.0Mar 2024View details →
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The pan-genome unearths gene content and transposable element variations in modern pigs

<p>Genes, gene annotations, proteins, and sequences identified in the non-reference genome of the pig pan-genome. Transposable insertion polymorphisms (TIP) indentified in the pig mobolome.</p>

opencc-by-4.0Jul 2022View details →
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FUNCTIONAL ANALYSIS OF LITTING SIZE AND NUMBER OF TEATS IN PIGS: FROM GWAS TO POST-GWAS

<p>Reproductive traits, such as number of teats and litter size, are essential for animal breeding programs due to the importance for the production chain, since they influence the maternal ability of sow and can affect the number of weaned piglets. Our objective was to identify candidate genes associated with reproductive traits in pigs, using GWAS data from a systematic review combined with sequencing data, to build networks of biological processes and TFs (transcription factors) from the identified genes, in order to highlight the most candidate genes for litter size and number of teats. In the systematic review only peer-reviewed articles were used, with descriptors related to the evaluated traits, and selected based on eligibility criteria. Fourteen papers were selected and classified into groups for functional analysis of gene networks with 2,077 candidate genes identified. After combining with the list of genes presenting known structural variants in the 5&#39;UTR and/or coding region, 306 genes remained to be used to build the networks of biological processes and TFs genes, highlighting processes associated with litter size (e.g., ionotropic glutamate receptor signaling pathway and blastocyte growth) and number of teats (e.g., growth hormone receptor, regulation of the BMP - Bone Morphogenetic Proteins signaling pathway and blood vessel proliferation). Two most candidate genes for litter size trait (<em>GRID2 </em>and <em>PALB2</em>) and six most candidate genes for number of teats (<em>GHR, IFT80,</em> <em>FSTL3, SKOR1, SMURF1</em> and <em>AKT3</em>) were prioritized. TFs associated with candidate genes were also identified for litter size (<em>PALB2</em> and <em>GRID2</em>) and number of teats (<em>RIN, LTBP2</em> and <em>COL6A6</em>). Thus, it is suggested that the most candidate genes and TFs presented in this study may play an important role in the traits studied, being important for genetic studies and animal breeding.</p>

opencc-by-4.0Aug 2022View details →
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Fig. 2 in Phenotypic and Genotypic Characterization ofEimeria caviae from Guinea Pigs (Cavia porcellus)

Fig. 2. Photomicrographs of sporulated oocysts of Eimeria caviae, a coccidium species recovered from Guinea pigs Cavia porcellus: (A, B, D) sub-spherical, (C, D) ellipsoidal, and (D, E, F) ovoidal oocysts. In (D) three shapes can be observed in the same field. The arrowheads point the Stieda and parastieda bodies. Sheather's sugar solution. Scale bar: 10 µm.

opencc-by-4.0Dec 2014View details →
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Fig. 3 in Phenotypic and Genotypic Characterization ofEimeria caviae from Guinea Pigs (Cavia porcellus)

Fig. 3. Histograms of (A) length, width and (B) shape-index, and (C) linear regression of the oocysts of Eimeria caviae, a coccidium species recovered from Guinea pigs Cavia porcellus.

opencc-by-4.0Dec 2014View details →
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Fig. 1 in Phenotypic and Genotypic Characterization ofEimeria caviae from Guinea Pigs (Cavia porcellus)

Fig. 1. Line drawings of sporulated oocysts of Eimeria caviae, a coccidium species recovered from Guinea pigs Cavia porcellus: (A) subspherical, (B) ellipsoidal, and (C) ovoidal oocysts; (D–G) variations of the Stieda bodies; (H–K) variations of the parastieda bodies; (L–M) variations of roughness of the oocyst wall. Scale bar: 10 µm.

opencc-by-4.0Dec 2014View details →
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Fig. 1 in Tick (Acarina: Ixodidae) species and life stages collected from Arkansas wild pigs

Fig. 1. Locations of Arkansas wild pig traps where ticks were collected Feb 2019 to Jan 2020. Collection sites are labeled by county. Two traps in Crawford County, 2 traps in Polk County, and 2 traps in Scott County were close geographically and appear as 1 location.

opencc-by-4.0Oct 2022View details →
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Fig. 2 in Wild pigs as sentinels for hard ticks: A case study from south-central Florida

Fig. 2. Mean intensity of infestation of adult ticks collected from wild pigs from May 22, 2015 to May 09, 2017. Ticks which could not be identified to species were excluded from this figure. Values of zero indicate that wild pigs were sampled during that month, but no adults of the indicated species were collected.

opencc-by-4.0Aug 2018View details →
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Fig. 4 in Wild pigs as sentinels for hard ticks: A case study from south-central Florida

Fig. 4. Estimated mean density of host-seeking ticks per 10 m 2 by life stage and habitat type with 95% confidence intervals shown as vertical bars. Numerical values for the estimated mean densities and 95% confidence intervals are reported in Table S5.

opencc-by-4.0Aug 2018View details →
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Fig. 1 in Wild pigs as sentinels for hard ticks: A case study from south-central Florida

Fig. 1. Location of Buck Island Ranch, Lake Placid, Florida denoted by blue circle. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

opencc-by-4.0Aug 2018View details →
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Fig. 3 in Wild pigs as sentinels for hard ticks: A case study from south-central Florida

Fig. 3. Average density of adults collected by dragging from May 14, 2015 to August 29, 2017. Values of zero indicate that drags were conducted during that month in the specified habitat, but no adults of the indicated species were collected. Symbol colors denote habitat and symbol shapes denote tick species. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

opencc-by-4.0Aug 2018View details →
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Taking advantage from phenotype variability in a local animal genetic resource: identification of genomic regions associated with the hairless phenotype in Casertana pigs

<p>Ped and Map files for 96 Casertana breed pigs genotyped with Illumina BeadChip 60K Porcine.<br> The first field of the ped file contains the id of the farm (1az-6az).<br> The hairless phenotype, in the ped phenotype field, is codified&nbsp;as 1, the hairy phenotype is codified as 2.</p>

opencc-by-4.0Feb 2018View details →
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eggNOG Mapper annotations of Mouse, Dog and Pig gut gene catalogs

<p><a href="https://github.com/jhcepas/eggnog-mapper">eggNOG-mapper</a> annotations of <a href="https://doi.org/10.1038/nbt.3353">mouse</a>, <a href="https://doi.org/10.1186/s40168-018-0450-3">dog</a> and <a href="https://doi.org/10.1038/nmicrobiol.2016.161">pig</a> gut, and <a href="https://doi.org/10.1038/nbt.2942">IGC</a> gene catalogs.</p>

opencc-by-4.0Jun 2018View details →
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Fig. 3 in Record of postmortem injuries caused by the Neotropical social wasp Agelaia fulvofasciata (Degeer) (Hymenoptera, Vespidae) on pig carcasses in the Eastern Amazon region: implications in forensic taphonomy

Fig. 3. Arrow pointing postmortem injuries (artifacts) produced by biotaphonomic activity of Agelaia fulvofasciata.

opencc-by-4.0Jul 2015View details →
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Fig. 1 in The detection of Japanese encephalitis virus in Megachiropteran bats in West Kalimantan, Indonesia: A potential enzootic transmission pattern in the absence of pig holdings

Fig. 1. Buffer map overlaying estimated flight range of Culex mosquitoes and hunting ranges of bats.

opencc-by-4.0Apr 2021View details →
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Fig. 2 in Comparative analyses of the fragmented mitochondrial genomes of wild pig louse Haematopinus apri from China and Japan

Fig. 2. The complete mitochondrial genome of wild pig louse Haematopinus apri form China. Each minichromosome has a coding region and a non-coding region (NCR, in black). The names and transcript orientation of genes are indicated in the coding region and the minichromosomes are placed in alphabetical order of protein-coding genes and rRNA genes. Abbreviations: atp6 and atp8, ATP synthase F0 subunits 6 and 8; cytb, cytochrome b; cox1-3, cytochrome c oxidase subunits 1–3; nad1-6 and nad4L, NADH dehydrogenase subunits 1–6 and 4L; rrnS and rrnL, small and large subunits of ribosomal RNA. tRNA genes are indicated with their single-letter abbreviations of the corresponding amino acids.

opencc-by-4.0Aug 2022View details →
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Merging metabolomics and genomics provides a catalog of genetic factors that infuence molecular phenotypes in pigs linking relevant metabolic pathways

<h3>Content</h3> <p>Metabolites included in the study. Summary statistics of metabolite levels for the Large White and Duroc pig populations are provided.</p>

opencc-by-4.0Nov 2024View details →
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FIG. 10 in Pigs and ritual-hunting among the highland Tau-Buhid in Mounts Iglit-Baco natural park, Philippines

FIG. 10. — Men from middle and highland regions waiting for the rain to pour down. The man on the left (wearing a shirt) may witness the process but cannot join directly in the activity because he is from the middle region (near Mount Iglit). As of this writing, only secluded highland communities may join in burning the sagrado (sacred place). Photo credits: C. A. Rosales.

opencc-by-4.0Jun 2021View details →
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FIG. 2 in Pigs and ritual-hunting among the highland Tau-Buhid in Mounts Iglit-Baco natural park, Philippines

FIG. 2. — Black swine believed to have turned feral near Mount Iglit (Buksol Mangibok for the Tau-Buhid). Photo credits: C. A. Rosales.

opencc-by-4.0Jun 2021View details →
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FIG. 8 in Pigs and ritual-hunting among the highland Tau-Buhid in Mounts Iglit-Baco natural park, Philippines

FIG. 8. — Author (upper left) in conversation with fufuama (grandfather, elder) Butodaol (wearing G-string,his back to the camera) through an interpreter (wearing colored shorts, middle), a few days before the safong (circular burning). The boy (lower left) is Butodaol's attendant, while the man on the upper right is a park ranger and one of the author's casual informants. Butodaol fears that the State might totally prohibit their hunting activities because of stricter law enforcement in the protected area. He could not imagine that younger generations might be forced to abandon the highlands to the lowlands, as is gradually happening now in fear of being apprehended by the law. Photo credits: C. A. Rosales.

opencc-by-4.0Jun 2021View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

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behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record