Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| goat.recode.vcf.csi | Other | |||
| goat.recode.vcf.gz | Vcf |
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Similar Datasets
Project description:This study used the CanineHD genotyping array to investigate copy number variants in the dog genome in a total of 351 samples from 30 different breeds. In total, 359 samples from 30 different breeds were genotyped on the CanineHD array. Signal intensities from the array were used to assess copy number variants and a supplied clusterfile from Illumina was used as reference file (downloadable at http://supportres.illumina.com/documents/downloads/productfiles/caninehd/caninehd_a.egt). Eight samples did not fulfill the quality criteria for CNV calling and therefore CNV calling was performed on 351 samples.
2014-03-28 | E-GEOD-55134 | biostudies-arrayexpress
Project description:Single-cell sequencing methodologies such as scRNA-seq and scATAC-seq have become widespread and effective tools to interrogate tissue composition. Increasingly, variant callers are being applied to these methodologies to resolve the genetic heterogeneity of a sample, especially in the case of detecting the clonal architecture of a tumor. Typically, traditional bulk DNA variant callers are applied to the pooled reads of a single-cell library to detect candidate mutations. Recently, multiple studies have applied such callers on reads from individual cells, with some citing the ability to detect rare variants with higher sensitivity. Many studies apply these two approaches to the Chromium (10x Genomics) scRNA-seq and scATAC-seq methodologies. However, Chromium-based libraries may offer additional challenges to variant calling compared to existing single-cell methodologies, raising questions for the validity of variants obtained from such a workflow. To determine the merits and challenges of various variant-calling approaches on Chromium scRNA-seq and scATAC-seq libraries, we use sample libraries with matched bulk whole-genome-sequencing to evaluate the performance of callers. We review caller performance, finding that bulk callers applied on pooled reads significantly outperform individual-cell approaches. We also evaluate variants unique to scRNA-seq and scATAC-seq methodologies, finding patterns of noise but also potential capture of RNA-editing events. Finally, we review the notion that variant calling at the single-cell level can detect rare somatic variants, providing empirical results that suggest resolving such variants is infeasible in single-cell Chromium libraries.
2024-08-05 | GSE213503 | GEO
Project description:Goats are adapted efficiently in different agro-climatic conditions. Goat milk has several unexplored health-promoting properties that need to be investigated scientifically and promoted commercially. Goat milk is mainly consumed in family and plays a pivotal role in fulfilling the nutritional requirement of older people, pregnant women and children. There has been considerable interest in goat milk protein due to availability of different bioactive peptides, which have nutraceutical applications. Secondly, goat milk is being used for treatment of different disease, allergy and heat stress condition. Therefore, the milk proteome analysis appears to be timely and required for future industrial application with respect to human health and nutrition. 2-DGE analysis of identified protein variants was performed and further identification of proteins was carried out through LC-MS/MS. variant samples from 15 breeds were resolved by 2DGE and spots were identified and analysed by LC-MS/MS from 15 different breeds for presence of unique peptides.
2021-09-08 | PXD013593 | Pride
Project description:The goat of this project is to explore lncRNA55666 efffect on small RNA to regulation goat mammary gland lipid metabolism. We tried to search the mechanism of lncRNA55666 regulation lipid metabolism through miRNA. small RNA seqencing of goat mamamary gland cells samples from different groups: 5NC, lncRNA55666 overexpression, 3NC, lncRNA55666 knockdown. The goat mammary gland cells were cultured in 3D condition. The cell were transfected with virus with lncRNA55666 gene (overexpression), or inhibition of lncRNA expression (lncRNA gene knockdown).
2020-08-13 | GSE135793 | GEO
Project description:The goat of this project is to explore cirRNA28250 efffect on small RNA to regulation goat mammary gland lipid metabolism. We tried to search the mechanism of cirRNA28250 regulation lipid metabolism through miRNA. small RNA seqencing of goat mamamary gland cells samples from different groups: 5NC, cirRNA28250 overexpression, 3NC,cirRNA28250 knockdown. The goat mammary gland cells were cultured in 3D condition. The cell were transfected with virus with cirRNA28250 gene (overexpression), or inhibition of cirRNA28250A expression (cirRNA28250 gene knockdown).
2021-12-01 | GSE142578 | GEO
Project description:Single-cell sequencing methodologies such as scRNA-seq and scATAC-seq have become widespread and effective tools to interrogate tissue composition. Increasingly, variant callers are being applied to these methodologies to resolve the genetic heterogeneity of a sample, especially in the case of detecting the clonal architecture of a tumor. Typically, traditional bulk DNA variant callers are applied to the pooled reads of a single-cell library to detect candidate mutations. Recently, multiple studies have applied such callers on reads from individual cells, with some citing the ability to detect rare variants with higher sensitivity. Many studies apply these two approaches to the Chromium (10x Genomics) scRNA-seq and scATAC-seq methodologies. However, Chromium-based libraries may offer additional challenges to variant calling compared to existing single-cell methodologies, raising questions for the validity of variants obtained from such a workflow. To determine the merits and challenges of various variant-calling approaches on Chromium scRNA-seq and scATAC-seq libraries, we use sample libraries with matched bulk whole-genome-sequencing to evaluate the performance of callers. We review caller performance, finding that bulk callers applied on pooled reads significantly outperform individual-cell approaches. We also evaluate variants unique to scRNA-seq and scATAC-seq methodologies, finding patterns of noise but also potential capture of RNA-editing events. Finally, we review the notion that variant calling at the single-cell level can detect rare somatic variants, providing empirical results that suggest resolving such variants is infeasible in single-cell Chromium libraries.
2024-08-05 | GSE213338 | GEO
Project description:Here, we examine how six single amino acid variants in the DNA-binding domain of Ste12 – a yeast transcription factor regulating mating and invasion – alter Ste12 genome binding, motif recognition and gene expression to yield markedly different phenotypes. Using a combination of the calling card method, RNA sequencing , we find that variants with dissimilar binding and expression profiles can converge onto similar cellular behaviors.
2020-01-30 | GSE141713 | GEO
Project description:Background The goat (Capra hircus) represents one of the most important farm animal species. It is reared in all continents with an estimated world population of about 800 million of animals. Despite its importance, studies on the goat genome are still in their infancy compared to those in other farm animal species. Comparative mapping between cattle and goat showed only a few rearrangements in agreement with the similarity of chromosome banding. We carried out a cross species cattle-goat array comparative genome hybridization (aCGH) experiment in order to identify copy number variations (CNVs) in the goat genome analysing animals of different breeds (Saanen, Camosciata delle Alpi, Girgentana, and Murciano-Granadina) using a tiling oligonucleotide array with ~385,000 probes designed on the bovine genome. Results We identified a total of 161 CNVs (an average of 17.9 CNVs per goat), with the largest number in the Saanen breed and the lowest in the Camosciata delle Alpi goat. By aggregating overlapping CNVs identified in different animals we determined CNV regions (CNVRs): on the whole, we identified 127 CNVRs covering about 11.47 Mb of the virtual goat genome referred to the bovine genome (0.435% of the latter genome). These 127 CNVRs included 86 loss and 41 gain and ranged from about 24 kb to about 1.07 Mb with a mean and median equal to 90,292 bp and 49,530 bp, respectively. To evaluate whether the identified goat CNVRs overlap with those reported in the cattle genome, we compared our results with those obtained in four independent cattle experiments. Overlapping between goat and cattle CNVRs was highly significant (P<0.0001) suggesting that several chromosome regions might contain recurrent interspecies CNVRs. Genes with environmental functions were over-represented in goat CNVRs as reported in other mammals. Conclusions We describe a first map of goat CNVRs. This provides information on a comparative basis with the cattle genome by identifying putative recurrent interspecies CNVs between these two ruminant species. Several goat CNVs affect genes with important biological functions. Further studies are needed to evaluate the functional relevance of these CNVs and their effects on behavior, production, and disease resistance traits in goats.
2010-11-09 | GSE24436 | GEO
Project description:MicroRNAs (miRNAs) are small non-coding RNAs that regulate the post transcriptional control of several pathway intermediates, and essential for regulation in skeletal muscle of many species, such as mice, cattle, pig and so on. However, a little number of miRNAs have been reported in the muscle development of goat. In this study, the longissimus dorsi transcripts of goat at 1- and 10-month-old were analyzed for RNA-seq and miRNA-seq. The results showed that 10-month-old Longlin goat expressed 327 up- and 419 down-regulated differentially expressed genes (DEGs) compared with the 1-month-old were founded. In addition, 20 co-up-regulated and 55 co-down-regulated miRNAs involved in muscle fiber hypertrophy of goat were identified in 10-month-old Longlin and Nubian goat compared with 1-month-old. Five miRNA–mRNA pairs (chi-let-7b-3p-MIRLET7A, chi-miR193b-3p-MMP14, chi-miR-355-5p-DGAT2, novel_128-LOC102178119, novel_140-SOD3) involved in the goat skeletal muscle development were identified by miRNA–mRNA negative correlation network analysis. Our results provided an insight into the functional roles of miRNAs of goat muscle-associated miRNAs, allowing us to better understand the transformation of miRNA roles during mammalian muscle development.
2022-11-09 | GSE217092 | GEO