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4,566 results for “marker”
Figure 1 from: Arriaga-Jiménez A, Roy L (2015) Co1 DNA supports conspecificity of Geomyphilus pierai and G. barrerai (Coleoptera, Scarabaeidae, Aphodiinae) and is a good marker for their phylogeographic investigation in Mexican mountains. ZooKeys 512: 77-88. https://doi.org/10.3897/zookeys.512.9646
Figure 1 - Sampled mountains are in the Eastern part of the Trans-Mexican Volcanic Belt: Malinche, Cofre de Perote, Pico de Orizaba and Sierra Negra.
Figure 4 from: Arriaga-Jiménez A, Roy L (2015) Co1 DNA supports conspecificity of Geomyphilus pierai and G. barrerai (Coleoptera, Scarabaeidae, Aphodiinae) and is a good marker for their phylogeographic investigation in Mexican mountains. ZooKeys 512: 77-88. https://doi.org/10.3897/zookeys.512.9646
Figure 4 - Label color indicates the morphological taxonomic assignation of each individual: red, Geomyphilus pierai, green, Geomyphilus barrerai, black, outgroup. Numbers at nodes are bootstrap values (500 rep.; only values ≥0.5 are provided).
Figure 4 from: Ševčík J, Kaspřák D, Rulik B (2016) A new species of Docosia Winnertz from Central Europe, with DNA barcoding based on four gene markers (Diptera, Mycetophilidae). ZooKeys 549: 127-143. https://doi.org/10.3897/zookeys.549.6925
Figure 4 - Maximum likelihood hypothesis for relationships among selected species of Docosia Winnertz based on DNA sequence data (COI, COII, CytB and ITS2), 2039 characters. Above node number = bootstrap support for ML.
Figures 1-3 from: Ševčík J, Kaspřák D, Rulik B (2016) A new species of Docosia Winnertz from Central Europe, with DNA barcoding based on four gene markers (Diptera, Mycetophilidae). ZooKeys 549: 127-143. https://doi.org/10.3897/zookeys.549.6925
Figures 1-3 - Docosia dentata sp. n. (holotype), male terminalia; 1 ventral view 2 tergite 9 in dorsal view 3 right gonostylus in dorsal view. Scale bar = 0.1 mm.
Rice grain weight and candidate gene marker dataset
<p><span>It is hypothesized that the genome-wide genic markers may increase the prediction accuracy of genomic selection for quantitative traits. To test this hypothesis, a set of candidate gene based markers for yield and grain traits-related genes cloned across the rice genome were custom-designed. A multi-model, multi-locus genome-wide association study (GWAS) was performed using new genic markers developed to test their effectiveness for gene discovery. Two multi-locus models, FarmCPU and mrMLM, along with a single-locus mixed linear model (MLM), identified 28 significant marker trait associations. These associations revealed novel causative alleles for grain weight and pleiotropic associations with other traits. For instance, the marker YD91 derived from the gene OsAAP3 on chromosome 1 was consistently associated with grain weight, while the gene has a significant effect on grain yield. Furthermore, nine genomic selection methods, including regression-based and machine learning-based models, were used to predict grain weight using a leave-one-out five-fold cross validation approach to optimize the genomic selection model with genic markers. Among nine prediction models, Kernel Hilbert Space Regression (RKHS) is the best among regression-based models, and Random Forest Regression (RFR) is the best among machine learning-based models. Genomic prediction accuracies with and without GWAS significant markers were compared to assess the effectiveness of markers. The rapid decreases in prediction accuracy upon dropping GWAS significant markers indicate the effectiveness of new genic markers in genomic selection. Apart from that, the candidate gene-based markers were found to be more effective in genomic selection programs for better accuracy.</span></p>
Study schema: Kathleen Buchheit. (2023). Dupilumab and daily high-dose aspirin therapy synergistically reduce nasal eosinophil markers in NSAID-exacerbated respiratory disease.
<p>Study schema</p>
Supplementary material 1 from: Boehmler M, Murray HL, DeMay DJ, Rogers AN, Hribar LJ (2023) Dataset for mosquitoes (Diptera, Culicidae) from State Route 905-Mile Marker 2, Key Largo, Monroe County, Florida, USA. Research Ideas and Outcomes 9: e101286. https://doi.org/10.3897/rio.9.e101286
Route 905 MM2 2003-2021
Supplementary material 1 from: Giangregorio P, Mucci N, Norman AJ, Pedrotti L, Filacorda S, Molinari P, Spong G, Davoli F (2023) Performance of SNP markers for parentage analysis in the Italian Alpine brown bear using non-invasive samples. Nature Conservation 53: 105-123. https://doi.org/10.3897/natureconservation.53.86739
Genetic and field data
Fig. 1 in Specialised metabolites as chemotaxonomic markers of Coptosapelta diffusa, supporting its delimitation as sisterhood phylogenetic relationships with Rubioideae
Fig. 1. The chemical structures of compounds 1–21.
Fig. 1 in L-DOPA synthesis in Mucuna pruriens (L.) DC. is regulated by polyphenol oxidase and not CYP 450/tyrosine hydroxylase: An analysis of metabolic pathway using biochemical and molecular markers
Fig. 1. The proposed hypothetical pathway for catecholamine biosynthesis in Mucuna pruriens.
Fig. 1 in Characterization of diketopiperazine heterodimers as potential chemical markers for discrimination of two dominant black aspergilli, Aspergillus niger and Aspergillus tubingensis
Fig. 1. Structures of compounds 1–8.
Fig. 2. Key HMBC and 1H–1H in Characterization of diketopiperazine heterodimers as potential chemical markers for discrimination of two dominant black aspergilli, Aspergillus niger and Aspergillus tubingensis
Fig. 2. Key HMBC and 1H–1H COSY correlations of compounds 2, 3, and 4.
Fig. 3 in Characterization of diketopiperazine heterodimers as potential chemical markers for discrimination of two dominant black aspergilli, Aspergillus niger and Aspergillus tubingensis
Fig. 3. Key NOESY correlations of compounds 2 and 3.
Fig. 4 in Characterization of diketopiperazine heterodimers as potential chemical markers for discrimination of two dominant black aspergilli, Aspergillus niger and Aspergillus tubingensis
Fig. 4. The chiral HPLC analyses of the hydrolysates of compounds 2 and 3.
Fig. 4 in Efficiency of RAPD, ISSR, iPBS, SCoT and phytochemical markers in the genetic relationship study of five native and economical important bamboos of North-East India
Fig. 4. UPGMA dendrogram of 5 bamboo species based on RAPD, ISSR, SCoT and iPBS combined data.
Fig. 1 in Mycosporine-like amino acids, brominated and sulphated phenols: Suitable chemotaxonomic markers for the reassessment of classification of Bostrychia calliptera (Ceramiales, Rhodophyta)
Fig. 1. The structures of compounds 1–6.
DNA metabarcoding assessment of Neotropical ichthyoplankton communities is marker-dependent
<p>Raw sequencing file of the arcticle "<strong>DNA metabarcoding assessment of Neotropical ichthyoplankton communities is marker-dependent</strong>", by Daniel Fonseca Teixeira<sup>1, 2</sup>, Heron Oliveira Hilário<sup>1</sup>, Gilmar Bastos Santos<sup>1</sup>, Daniel Cardoso Carvalho<sup>1*</sup></p> <p>1- Post-Graduate Program in Vertebrate Biology, Pontifical Catholic University of Minas Gerais, PUC Minas, Belo Horizonte 30535-610, Brazil;</p> <p>2- Post-Graduate Program in Genetics, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil;</p> <p>The study of ichthyoplankton is paramount to understanding fish assemblages’ reproductive dynamics. DNA metabarcoding has been applied as a rapid, cost-effective, and accurate taxonomy tool, allowing the identification of multiple individuals simultaneously. However, there remain significant challenges when using DNA metabarcoding, such as molecular marker choice according to the taxonomic resolution and length of the fragment to be sequenced, primer bias, incomplete reference databases, and qualitative inferences incongruences. Here, 30 ichthyoplankton pools collected from a Neotropical river were identified at a molecular level using DNA metabarcoding to compare the resolution, sensibility, specificity and relative read abundance (RRA) recovery of three molecular markers: the standard COI fragment (650pb, with each strand analyzed individually) and two short 12S rRNA genes markers (@ 200bp - NeoFish and MiFish markers). The combined use of the three markers increased the genera detection rates by 25% to 87.5%, allowing an increased taxonomic coverage and robust taxonomic identification of complex Neotropical ichthyoplankton communities. RRA is marker-dependent, indicating caution is still needed whilst inferring species abundance based on DNA metabarcoding data when using PCR-dependent protocols.</p>
Taxonomic position of Betula obscura and Betula pendula var. carelica – analyses of molecular markers and leaves morphology
<p>The file includes 526 AFLP loci of 76 individuals belonging to five species and one variety of <em>Betula</em> genus.</p>
Cross-sectional Evaluation of Biological Markers of Cardiovascular Disease in Children and Adolescents With Psoriasis
ClinicalTrials.gov study NCT01122095. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effects of Intranasal Insulin on Neuroimaging Markers and Cognition in Patients With Psychotic Disorders
ClinicalTrials.gov study NCT03943537. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.