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2,315 results for “Comparative analysis”
Comparative genome analysis of Lactococcus lactis indicates niche adaptation and resolves genotype/phenotype disparity
<p>This publication describes the comparative genome analysis of 43 L. lactis strains</p> <p>The data stored here are individual alignments (alignments.zip) and the output files from gene trait matching (GTM_output.zip) used in this study.</p>
Evolution of neocortical folding: A phylogenetic comparative analysis of MRI from 34 primate species
<p>Dorsal view of the reconstructed cerebral hemispheres of 34 different primate species.</p> <p>This figure is from our open access paper:</p> <p>Heuer, K., Gulban, O. F., Bazin, P.-L., Osoianu, A., Valabregue, R., Santin, M., Herbin, M., & Toro, R. (2018). Evolution of neocortical folding: A phylogenetic comparative analysis of MRI from 33 primate species. bioRxiv. <a href="https://doi.org/10.1101/379750">https://doi.org/10.1101/379750</a>. </p> <p>Abstract</p> <p>We present a comparative analysis of cerebral size and neocortical folding. Magnetic resonance imaging data was collected from 66 individuals belonging to 34 different primate species. We measured several neocortical folding parameters and studied their evolution using phylogenetic comparative methods. Our results suggest that the most likely model is one where phenotypical differences vary randomly through evolution (the Brownian Motion model). We present estimations of the ancestral primate phenotypes as well as estimations of the rates of phenotypic change.</p> <p> </p>
Data for 'Comparative Analysis of Single-Cell RNA Sequencing Methods'
<p>Raw sequencing data to "Comparative Analysis of Single-Cell RNA Sequencing Methods". </p> <p>https://www.ncbi.nlm.nih.gov/pubmed/28212749</p> <p> </p> <p>In addition to the GEO submission https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE75790, you can find here raw bam files for UMI-methods tagged with cell barcode and UMI sequences.</p> <p>MD5 checksum: f10825509952fffd9c4dc0c1dcb9eb8e</p>
Supplementary Materials for: A Comprehensive Cohort Analysis Comparing Growth and GH Therapy Response in IGF1R Mutation Carriers and SGA Children
<p>Supplemental Tables and Figures for the clinical research article: <strong>A Comprehensive Cohort Analysis Comparing Growth and GH Therapy Response in IGF1R Mutation Carriers and SGA Children</strong></p>
Life in the fastlane? A comparative analysis of gene expression profiles across annual, semi-annual, and non-annual killifishes (Cyprinodontiformes: Nothobranchiidae)
<ol> <li>Read Counts per gene</li> <li>All read counts by inidividual and species</li> <li>Species abbreviations key</li> <li>R script for data analyses</li> </ol>
Examining the oil price and renewable energy price nexus: Comparative wavelet analysis for the aftermath of 2008 financial crisis, shale oil crisis and COVID-19 pandemic.
<p><span>In this study, we conducted a wavelet analysis on the dependence between renewable energy indices and Brent oil index (Brent) for the period of 21st November, 2003 till 24th May, 2024. The objective of the paper includes comparing the co-movement of renewable energy stock prices and oil prices during three different crises including the global financial crisis, shale oil crisis and the covid-19 pandemic. We found that the dependence is similar for both Europe and on a global scale during the pre-crises time, where renewable energy prices lead Brent oil prices in the short and medium term. Furthermore, results confirm that there is substitutability between oil prices and renewable energy prices before all crises which shows a positive correlation. The results further show that the short and medium term dependence disappears after the oil crisis and financial crisis which is supported by the sudden loss in demand for oil. These findings show that co-movement changes between the three crises where there is no dependence between the indices after the financial and oil crisis while there is a negative correlation after the covid-19 pandemic. These findings could have significant ramifications for investors seeking to mitigate risks and for policymakers making decisions about supporting the advancement of renewable energy while understanding the change of behaviour between the two crises.</span></p>
Enhancing Collaborative Care in Schizophrenia: A Comparative Analysis of ICF Core Sets Assessments by Occupational Therapy and Mental Health Social Work Students
<p>This repository contains the R code, dataset, and README file for the network analysis of ICF (International Classification of Functioning, Disability, and Health) assessments. The study compares the assessments conducted by occupational therapy students and mental health social work students, analyzing centrality measures and Bridge Expected Influence within their respective networks.</p>
Figure2 in Comparative Study in Habitat Suitability Analysis of Wild Water Buffalo (Bubalus arnee) in Two Flood Plains of Chitwan National Park (CNP), Nepal
Figure2. Methodological Flow Diagram
Figure6 in Comparative Study in Habitat Suitability Analysis of Wild Water Buffalo (Bubalus arnee) in Two Flood Plains of Chitwan National Park (CNP), Nepal
Figure6. IVI of Tree Species in Western Sector
Figure5 in Comparative Study in Habitat Suitability Analysis of Wild Water Buffalo (Bubalus arnee) in Two Flood Plains of Chitwan National Park (CNP), Nepal
Figure5. IVI of Tree Species in Eastern Sector
Figure1 in Comparative Study in Habitat Suitability Analysis of Wild Water Buffalo (Bubalus arnee) in Two Flood Plains of Chitwan National Park (CNP), Nepal
Figure1. Study Area
Figure4 in Comparative Study in Habitat Suitability Analysis of Wild Water Buffalo (Bubalus arnee) in Two Flood Plains of Chitwan National Park (CNP), Nepal
Figure4. IVI of Grass Species in Western Sector
Figure3 in Comparative Study in Habitat Suitability Analysis of Wild Water Buffalo (Bubalus arnee) in Two Flood Plains of Chitwan National Park (CNP), Nepal
Figure3. IVI of Grass Species in Eastern Sector
Figure8 in Comparative Study in Habitat Suitability Analysis of Wild Water Buffalo (Bubalus arnee) in Two Flood Plains of Chitwan National Park (CNP), Nepal
Figure8. Habitat Suitability Map of Western Flood Plain
Figure7 in Comparative Study in Habitat Suitability Analysis of Wild Water Buffalo (Bubalus arnee) in Two Flood Plains of Chitwan National Park (CNP), Nepal
Figure7. Habitat Suitability Map of Eastern Flood Plain
Code on Demand: A Comparative Analysis of the Efficiency, Understandability, and Self-Correction Capability of Copilot, ChatGPT, and Gemini - Data resulting from the study
<p>Este conjunto de dados foi gerado como parte do estudo "Code on Demand: A Comparative Analysis of the Efficiency, Understandability, and Self-Correction Capability of Copilot, ChatGPT, and Gemini - Data resulting from the study". O estudo focou na avaliação do desempenho das ferramentas Copilot, ChatGPT e Gemini, utilizando problemas do LeetCode em quatro linguagens de programação: Python, Java, JavaScript e C.</p> <p>O conjunto de dados atualizado está organizado nas seguintes pastas:</p> <ol> <li> <p><strong>c_programs</strong>: Esta pasta contém os scripts Python utilizados para calcular a complexidade ciclomática e a complexidade cognitiva do código C gerado pelas ferramentas.</p> <ul> <li><code>calculate_cyclomatic_complexity.py</code>: Script para calcular a complexidade ciclomática.</li> <li><code>calculate_cognitive_complexity.py</code>: Script para calcular a complexidade cognitiva.</li> </ul> </li> <li> <p><strong>codes_suggested_by_the_tools</strong>: Esta pasta contém as sugestões de código geradas pelo Copilot, ChatGPT e Gemini para cada problema do LeetCode.</p> <ul> <li>Subpastas: <code>ChatGPT</code>, <code>Copilot</code>, <code>Gemini</code>, cada uma contendo as sugestões de código correspondentes nos formatos das linguagens.</li> </ul> </li> <li> <p><strong>complexity_of_codes</strong>: Esta pasta contém dois arquivos CSV que fornecem os resultados da análise de complexidade para o código gerado.</p> <ul> <li><code>AI analysis results table - Cognitive.csv</code>: Resultados da complexidade cognitiva do código gerado.</li> <li><code>AI analysis results table - Cyclomatic.csv</code>: Resultados da complexidade ciclomática do código gerado.</li> </ul> </li> </ol> <p>Este conjunto de dados atualizado oferece insights valiosos sobre o desempenho das ferramentas de geração de código com IA e pode ser utilizado para análises futuras ou estudos de replicação.</p>
The efficacy of hemoglobin spray in wound management: a systematic review and network meta-analysis of comparative studies
<p>Dataset</p>
Data supporting the article: "Comparative analysis of fecal microbiota between adolescents with early-onset psychosis and adults with schizophrenia"
<p>This dataset supports the article titled <em>"Comparative analysis of fecal microbiota between adolescents with early-onset psychosis and adults with schizophrenia.", </em>available at<em> <a href="https://doi.org/10.3390/microorganisms12102071">https://doi.org/10.3390/microorganisms12102071</a></em><em>.</em></p> <p>The dataset includes fecal microbiota sequencing data from adolescent patients with early-onset psychosis, adult patients with schizophrenia, and non-psychotic controls. The data were generated using 16S rRNA gene sequencing and analyzed with QIIME2 and PICRUSt2 to assess microbial diversity and functional pathways. Variables such as age, diagnosis, and medication use are included.</p> <p>The dataset contains:</p> <ul> <li><strong>Processed results</strong> from fecal microbiota analysis (OTUs and taxonomic classifications)</li> <li><strong>Metadata</strong> associated with each sample (age, diagnosis, medication)</li> <li><strong>Results from diversity analysis</strong> (alpha and beta diversity metrics)</li> <li><strong>Functional analysis</strong> of microbial pathways (PICRUSt2)</li> </ul> <p>These data are essential for reproducing the findings discussed in the article. Note that the raw sequencing data are available upon request.</p>
Comparative genomics of Helotiales (Leotiomycetes) and in silico analysis of temperature adaptations of plant-associated genes
<p><span>Table S1: Genome assembly size and quality for every species in this study; </span></p> <p><span>Table S2: Genome annotation counts for P450, virulence factors, effectors, and CAZy genes and their temperature adaptation.</span></p>
Complex ecological phenotypes on phylogenetic trees: a Markov process model for comparative analysis of multivariate count data
The evolutionary dynamics of complex ecological traits – including multistate representations of diet, habitat, and behavior – remain poorly understood. Reconstructing the tempo, mode, and historical sequence of transitions involving such traits poses many challenges for comparative biologists, owing to their multidimensional nature. Continuous-time Markov chains (CTMC) are commonly used to model ecological niche evolution on phylogenetic trees but are limited by the assumption that taxa are monomorphic and that states are univariate categorical variables. A necessary first step in the analysis of many complex traits is therefore to categorize species into a pre-determined number of univariate ecological states, but this procedure can lead to distortion and loss of information. This approach also confounds interpretation of state assignments with effects of sampling variation because it does not directly incorporate empirical observations for individual species into the statistical inference model. In this study, we develop a Dirichlet-multinomial framework to model resource use evolution on phylogenetic trees. Our approach is expressly designed to model ecological traits that are multidimensional and to account for uncertainty in state assignments of terminal taxa arising from effects of sampling variation. The method uses multivariate count data for individual species to simultaneously infer the number of ecological states, the proportional utilization of different resources by different states, and the phylogenetic distribution of ecological states among living species and their ancestors. The method is general and may be applied to any data expressible as a set of observational counts from different categories.
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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.