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183
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Dataset results
183 results for “association mapping”
Genome-wide mapping of i-Motifs reveals their association with transcription regulation in live human cells [RNA-seq]
GEO Series GSE220881. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
Mapping nucleolus-associated chromatin interactions by nucleolus-Hi-C reveals repression network
GEO Series GSE90003. Homo sapiens. 22 samples. Type: Other.
Systematic mapping of nuclear domain-associated transcripts reveals speckles and lamina as hubs of functionally distinct retained introns
GEO Series GSE176439. Homo sapiens. 60 samples. Type: Other.
A quantitative chemotherapy genetic interaction map identifies new factors associated with PARP inhibitor resistance
GEO Series GSE101904. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Unbiased, Genome-wide in vivo Mapping of Transcriptional Regulatory Elements Reveals Sex Differences in Chromatin Structure Associated with Sex-specific Liver Gene Expression
GEO Series GSE21777. Mus musculus. 10 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Laser Capture Microdissection-Reduced Representation Bisulfite Sequencing (LCM-RRBS) maps changes in DNA methylation associated with gonadectomy-induced adrenocortical neoplasia in the mouse
GEO Series GSE45361. Mus musculus; Homo sapiens. 23 samples. Type: Methylation profiling by high throughput sequencing.
Genome-wide mapping of cytosine methylation revealed dynamic DNA methylation patterns associated with rice centromeres
GEO Series GSE21414. Oryza sativa. 1 samples. Type: Methylation profiling by high throughput sequencing.
Reanalysis of TSA-Seq mapping to determine genomic coordinates for speckles-associated domains.
GEO Series GSE248644. Homo sapiens. 0 samples. Type: Third-party reanalysis; Other.
Genome-wide mapping of i-Motifs reveals their association with transcription regulation in live human cells
GEO Series GSE220882. Homo sapiens. 17 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Single cell mapping of breast tumor stroma reveals dynamically evolving compositions of cancer-associated fibroblasts along tumor progression (scRNA-seq dataset)
GEO Series GSE149635. Mus musculus. 50 samples. Type: Expression profiling by high throughput sequencing.
eQTL mapping of the 12S globulin cruciferin gene PGCRURSE5 as a novel candidate associated with starch content in potato tubers
GEO Series GSE153031. Solanum tuberosum. 8 samples. Type: Expression profiling by high throughput sequencing.
An integrated peach genome structural variation map uncovers genes associated with fruit traits
<p>The VCF files generated from 336 peach accessions, including SVs (>50bp), SNPs and indels (<50bp).</p>
Data associated with Thesis "Dealing with Uncertainty and Ambiguity in Geological Maps"
<p>Data associated with:</p> <p><strong>"Dealing with Uncertainty and Ambiguity in Geological Maps"</strong></p> <p>Thesis N°5479, by Anna Rauch, University of Geneva (2020)</p> <p>Subfolders:</p> <p>- <em>TraceDatabase</em>: All bedrock interface traces and fault traces of the Swiss Geological Atlas at 1:25'000, their coordinates and their different characteristics (including TIE values). Chapter 2 & 5 of the thesis. </p> <p>- <em>ExpertAssessment</em>: Data obtained through the assessment of two trace-sets by two different geologists. Chapter 5 of the thesis.</p> <p>- <em>ReliabilityMap:</em> Data related to a reliability analysis obtained for the Swiss Geological Atlas sheet of '<em>Sion</em>'. Chapter 4 of the thesis.</p> <p> </p>
Data from: Association mapping for phenology and plant architecture in maize shows higher power for developmental traits compared with growth influenced traits
Plant architecture, phenology and yield components of cultivated plants have repeatedly been shaped by selection to meet human needs and adaptation to different environments. Here we assessed the genetic architecture of 24 correlated maize traits that interact during plant cycle. Overall, 336 lines were phenotyped in a network of 9 trials and genotyped with 50K single-nucleotide polymorphisms. Phenology was the main factor of differentiation between genetic groups. Then yield components distinguished dents from lower yielding genetic groups. However, most of trait variation occurred within group and we observed similar overall and within group correlations, suggesting a major effect of pleiotropy and/or linkage. We found 34 quantitative trait loci (QTLs) for individual traits and six for trait combinations corresponding to PCA coordinates. Among them, only five were pleiotropic. We found a cluster of QTLs in a 5 Mb region around Tb1 associated with tiller number, ear row number and the first PCA axis, the latter being positively correlated to flowering time and negatively correlated to yield. Kn1 and ZmNIP1 were candidate genes for tillering, ZCN8 for leaf number and Rubisco Activase 1 for kernel weight. Experimental repeatabilities, numbers of QTLs and proportion of explained variation were higher for traits related to plant development such as tillering, leaf number and flowering time, than for traits affected by growth such as yield components. This suggests a simpler genetic determinism with larger individual QTL effects for the first category.
supplemental data for QTL MAPPING TO IDENTIFY LOCI AND CANDIDATE GENES ASSOCIATED WITH FREEZING TOLERANCE TRAIT IN CAMELINA SATIVA
Open the record for dataset details and reuse information.
Figure. Map of sampling sites PulauKambing, Terengganu waters of South China Sea, Malaysia. in Length-weight relationships and relative condition factors of three coral-associated Lutjanus species from Terengganu waters of the South China Sea, Malaysia
Figure. Map of sampling sites PulauKambing, Terengganu waters of South China Sea, Malaysia.
Data from: Comparison of biometrical models for joint linkage association mapping
Joint linkage association mapping (JLAM) combines the advantages of linkage mapping and association mapping, and is a powerful tool to dissect the genetic architecture of complex traits. The main goal of this study was to use a cross-validation strategy, resample model averaging and empirical data analyses to compare seven different biometrical models for JLAM with regard to the correction for population structure and the quantitative trait loci (QTL) detection power. Three linear models and four linear mixed models with different approaches to control for population stratification were evaluated. Models A, B and C were linear models with either cofactors (Model-A), or cofactors and a population effect (Model-B), or a model in which the cofactors and the single-nucleotide polymorphism effect were modeled as nested within population (Model-C). The mixed models, D, E, F and G, included a random population effect (Model-D), or a random population effect with defined variance structure (Model-E), a kinship matrix defining the degree of relatedness among the genotypes (Model-F), or a kinship matrix and principal coordinates (Model-G). The tested models were conceptually different and were also found to differ in terms of power to detect QTL. Model-B with the cofactors and a population effect, effectively controlled population structure and possessed a high predictive power. The varying allele substitution effects in different populations suggest as a promising strategy for JLAM to use Model-B for the detection of QTL and then to estimate their effects by applying Model-C.
Data for: Linkage mapping of root shape traits associated with market class in two biparental carrot populations
<p>This repository contains essential data to support the findings presented in the forthcoming publication titled "Linkage Mapping of Root Shape Traits Associated with Market Class in Two Biparental Carrot Populations." It includes VCF files for two distinct carrot biparental populations, as well as R code for filtering, constructing linkage maps, and conducting QTL analysis. Furthermore, the repository hosts phenotypic data gathered from these two biparental populations during the years 2020 and 2021.</p><p>Both carrot genetic maps, one for each population, have been made available alongside their respective phenotypic data.</p><p><br>The provided R code contains absolute working directory paths that may not function as intended on your system. The primary purpose of sharing this code is to offer readers insight into the techniques employed in this study. You may need to adapt the directory paths to suit your specific setup.</p><p><br>To assist readers in understanding the logical sequence of steps involved in linkage mapping, the R code scripts have been sequentially numbered from 0 to 10.</p><p> </p>
Exploratory Study of Molecular Profile-Associated Evidence Guided Precision Therapy for Salivary Gland Cancer（MAPS）
ClinicalTrials.gov study NCT05087706. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Genetic Association Mapping of Malaria Resistance in Anopheles Gambiae
ClinicalTrials.gov study NCT00850655. IPD Sharing: NO. Countries: 1. Publications: 0.
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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.