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https://satijalab.org/signac/index.html
Software framework for analysis of single cell chromatin data. Used for analysis, interpretation, and exploration of single cell chromatin datasets including datasets that co-assay DNA accessibility with gene expression, protein abundance, and mitochondrial genotype. Analysis of single-cell chromatin data including peak calling, quantification, quality control, dimension reduction, clustering, integration with single-cell gene expression datasets, DNA motif analysis, and interactive visualization.
Proper citation: Signac (RRID:SCR_021158) Copy
https://cran.r-project.org/web/packages/anocva/index.html
Software R package as a nonparametric statistical test to compare clustering structures with applications in functional magnetic resonance imaging data (fMRI). Used for analysis of cluster variability in the diagnosis of neuropsychological disorders.
Proper citation: ANOCVA (RRID:SCR_016719) Copy
https://github.com/powellgenomicslab/ascend
Software R package for analysis of single cell RNA-seq expression, normalization and differential expression data. Provides framework to perform cell and gene filtering, quality control, normalization, dimension reduction, clustering, differential expression, and visualization functions.
Proper citation: ascend (RRID:SCR_017257) Copy
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Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
