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2,315 results for “Comparative analysis”
FIGURE 1 in Comparative analysis of the diet composition and its relation to morphological characteristics in Achirus mazatlanus and Syacium ovale (Pleuronectiformes: Osteichthyes) from a Mexican Pacific coastal lagoon
FIGURE 1 | Cumulative curves of food items diversity (Shannon´s index). Achmaz: Achirus mazatlanus; Syaova: Syacium ovale; Numbers indicate size classes: 1 for LT <10 cm; 2 for LT ≥ 10 cm and LT ≤ 15 cm; 3 for LT> 15 cm. Dashed lines indicate the interval H´max ± 0.05*H´max.
COMPARATIVE ANALYSIS OF UZBEK AND TURKISH CHILDREN'S LITERATURE
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Codes and datasets for the comparative transcriptome analysis of venom glands in parasitoid wasps
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Figure 6 from: Zhang Q-H, Huang P, Chen B, Li T-J (2018) The complete mitochondrial genome of Orancistrocerus aterrimus aterrimus and comparative analysis in the family Vespidae (Hymenoptera, Vespidae, Eumeninae). ZooKeys 790: 127-144. https://doi.org/10.3897/zookeys.790.25356
Figure 6 The phylogenetic relationships were established by the 13 PCGs using ML (A) and BI (B) methods. Numbers abutting branches were bootstrap percentages with 1000 replicates (A) and Bayesian posterior probabilities (B). Red pentagram refers to the mitogenome sequences of O.a.aterrimus.
Figure 5 from: Zhang Q-H, Huang P, Chen B, Li T-J (2018) The complete mitochondrial genome of Orancistrocerus aterrimus aterrimus and comparative analysis in the family Vespidae (Hymenoptera, Vespidae, Eumeninae). ZooKeys 790: 127-144. https://doi.org/10.3897/zookeys.790.25356
Figure 5 Secondary structures of 23 tRNAs of O.a.aterrimus mitochondrial genome. Watson-Crick bonds are showed by dashes, GU pairs by filled dots, and AG and UU by open dots.
Figure 2 from: Zhang Q-H, Huang P, Chen B, Li T-J (2018) The complete mitochondrial genome of Orancistrocerus aterrimus aterrimus and comparative analysis in the family Vespidae (Hymenoptera, Vespidae, Eumeninae). ZooKeys 790: 127-144. https://doi.org/10.3897/zookeys.790.25356
Figure 2 Mitochondrial gene arrangement of 12 species of Vespidae. The red fonts indicate the rearrangement of the genes.
Figure 4 from: Zhang Q-H, Huang P, Chen B, Li T-J (2018) The complete mitochondrial genome of Orancistrocerus aterrimus aterrimus and comparative analysis in the family Vespidae (Hymenoptera, Vespidae, Eumeninae). ZooKeys 790: 127-144. https://doi.org/10.3897/zookeys.790.25356
Figure 4 Relative synonymous codon usage (RSCU) in Vespidae. Codon families are displayed along the x-axis.
Figure 1 from: Zhang Q-H, Huang P, Chen B, Li T-J (2018) The complete mitochondrial genome of Orancistrocerus aterrimus aterrimus and comparative analysis in the family Vespidae (Hymenoptera, Vespidae, Eumeninae). ZooKeys 790: 127-144. https://doi.org/10.3897/zookeys.790.25356
Figure 1 The mitochondrial genome of O.a.aterrimus. Arrows indicate the direction of genes. Abbreviations of the gene name are as follows: nad1-4 and nad4L act as nicotinamide adenine dinucleotide hydrogen dehydrogenase subunits 1-6 and 4L; cox1, cox2, and cox3 act as the cytochrome C oxidase subunits; cytb act as cytochrome b; atp8 and atp6 act as adenosine triphosphate synthase subunits 6 and 8; rrnL and rrnS act as large and small rRNA subunits; In addition, CR indicates control region and NCR indicates non-coding region.
Data used in the paper_ Analyzing innovation in museums through qualitative comparative analysis
<p>Data used in the three models of the paper published in Knowledge Management Research & Practice (https://www.tandfonline.com/doi/abs/10.1080/14778238.2019.1601505?journalCode=tkmr20).</p> <p>Please, cite as follows:</p> <p>Blanca de Miguel Molina, Rafael Boix Domenech & María de Miguel Molina (2019) Analysing innovation in museums through qualitative comparative analysis, Knowledge Management Research & Practice, 17:2, 213-226, DOI: <a href="https://doi.org/10.1080/14778238.2019.1601505">10.1080/14778238.2019.1601505</a></p> <p> </p> <p> </p>
Data from: comparative genomic analysis of Salmonella enterica subsp. enterica serovar Abortusequi
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Comparative Efficacy of various Procedures of eccentric exercises for Midportion Achilles Tendinopathy: A Systematic Review and Network Meta-analysis
<p>supplementary materials<span><span> </span><span> 补充材料</span></span></p>
Comparative structural insights and functional analysis for the distinct unbound states of Human AGO proteins - Molecular dynamics trajectories and analysis scripts
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Comparative Analysis of Botulinum Toxin Administration Techniques in Benign Essential Blepharospasm: A Clinical Study of Pretarsalis versus Preseptalis Injections
<p>Table S1. Relationship between Jankovic severity/frequency and PPS&PPT applications</p>
Data and calculations associated with "Tracking cropland transitions: a comparative analysis of U.S. land cover change data"
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Supplementary tables of the research article "Comparative Analysis of Yukmijihwang-tang and Palmijihwang-tang: Lifespan Extension and Kidney Function Improvement in Aging Models"
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Supp Table 1. Comparative Analysis of Drug Interactions Identified by ChatGPT-4o with Dermatologist Agreement
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COMPARATIVE ANALYSIS OF SOMATIC PHRASEOLOGY IN ENGLISH AND KARAKALPAK LANGUAGES
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Data from: Immunotherapy-related adverse events (irAEs): extraction from FDA drug labels and comparative analysis
Objectives: Immune checkpoint inhibitors (ICIs) have dramatically improved outcomes in cancer patients. However, ICIs are associated with significant immune-related adverse events (irAEs) and the underlying biological mechanisms are not well-understood. To ensure safe cancer treatment, research efforts are needed to comprehensively detect and understand irAEs. Materials and Methods: We manually extracted and standardized irAEs from FDA drug labels for six FDA-approved ICIs. We compared irAE profile similarities among ICIs and 1,507 FDA-approved non-ICI drugs. We investigated how irAEs have differential effects on human organs by classifying irAEs based on their targeted organ systems. Finally, we identified broad-spectrum (non-target specific) and narrow-spectrum (target-specific) irAEs. Results: A total of 893 irAEs were extracted. 31.4% irAEs were shared among ICIs as compared to the 8.0% between ICIs and non-ICI drugs. irAEs were resulted from both on- and off-target effects: irAE profiles were more similar for ICIs with same target than different targets, demonstrating the on-target effects; irAE profile similarity for ICIs with the same target is less than 50%, demonstrating unknown off-target effects. ICIs significantly target many organ systems, including endocrine system (3.4-fold enrichment), metabolism (3.7-fold enrichment), immune system (3.6-fold enrichment) and autoimmune system (4.8-fold enrichment). We identified 21 broad-spectrum irAEs shared among all ICIs, 20 irAEs specific for PD-L1/PD-1 inhibition, and 28 irAEs specific for CTLA-4 inhibition. Discussion and Conclusion: Our study presents the first effort toward building a standardized database of irAEs. The extracted irAEs can serve as a goldstandard for automatic irAE extractions from other data resources and set a foundation to understand biological mechanisms of irAEs.
Data from: Influence of a growth hormone transgene on the genetic architecture of growth-related traits: a comparative analysis between transgenic and wild-type coho salmon
Genetic engineering has been increasingly applied to many commercially important plant and animal species, generating phenotypic changes that are not observed in natural populations and creating genetic interactions that have not experienced natural selection. The degree to and way in which such human-induced genetic variation interacts with the rest of the genome is currently largely unknown. Integrating such information into ecological and risk assessment frameworks is crucial to understand the potential effects of genetically modified organisms in natural environments. Here, we performed QTL mapping to investigate the genetic architecture of growth-related traits in non-transgenic (NT) and growth hormone transgenic (T) coho salmon with large changes in growth and related physiology, with the aim of identifying how an inserted transgene might influence the opportunity for selection. These fish shared the same parental genetic background, thus allowing us to determine whether the same or different loci influence these traits within the two groups. The use of over 1700 loci, derived from Restriction site Associated DNA Sequencing, revealed that different genomic regions were linked with growth over time between the two groups. Additionally, the effect sizes of detected QTL appear to have been influenced by the transgene. Direct comparison of QTL between the T and NT fish during two size-matched periods identified little overlap in their location. Taken together, the results showed that the transgene altered the genetic basis of growth-related traits in this species. The study has important implications for effective conservation and management of wild populations experiencing introduction of transgenes. Evolutionary changes and their ecological consequences may occur at different rates and in different directions in NT versus T individuals in response to selection. Thus assessments of phenotypic change, and hence ecological risk, should be determined periodically to evaluate whether initial estimates made with founder strains remain valid.
Data from: How parallel is parallel evolution? A comparative analysis in fishes
Evidence of phenotypic parallelism is often used to infer the deterministic role played by natural selection. However, variation in the extent or direction of divergence is often evident among independent evolutionary replicates, raising the following question: just how parallel, overall, is parallel evolution? We answer this question through a comparative analysis of studies of fishes, a taxon where parallel evolution has been much discussed. We first ask how much of the among-population variance in phenotypic traits can be explained by different "environment" types, such as high predation versus low predation or benthic versus limnetic. We then use phenotypic change vector analysis to quantify variation in the direction (vector angles) and magnitude (vector lengths) of environment-associated divergence. All analyses show high variation in the extent of parallelism—from very high to very low, along with everything in between—highlighting the importance of quantifying parallelism rather than just asserting its presence. Interestingly, instances of low extents of parallelism represent important components of divergence in many cases, promising considerable opportunities for inferences about the factors shaping phenotypic divergence.
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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.