topGO - Enrichment Analysis for Gene Ontology
topGO package provides tools for testing GO terms while accounting for the topology of the GO graph. Different test statistics and different methods for eliminating local similarities and dependencies between GO terms can be implemented and applied.
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geneexpressiontranscriptomicsgenesetenrichmentgoannotationpathwayssystemsbiologymicroarraysequencingvisualizationsoftware
11.15 score 2 stars 22 dependents 3.3k scripts 4.1k downloadsgoseq - Gene Ontology analyser for RNA-seq and other length biased data
Detects Gene Ontology and/or other user defined categories which are over/under represented in RNA-seq data.
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immunooncologysequencinggogeneexpressiontranscriptionrnaseqdifferentialexpressionannotationgenesetenrichmentkeggpathwayssoftware
10.14 score 2 stars 10 dependents 1.2k scripts 2.4k downloadspcaExplorer - Interactive Visualization of RNA-seq Data Using a Principal Components Approach
This package provides functionality for interactive visualization of RNA-seq datasets based on Principal Components Analysis. The methods provided allow for quick information extraction and effective data exploration. A Shiny application encapsulates the whole analysis.
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immunooncologyvisualizationrnaseqdimensionreductionprincipalcomponentqualitycontrolguireportwritingshinyappsbioconductorprincipal-componentsreproducible-researchrna-seq-analysisrna-seq-datashinytranscriptomeuser-friendly
9.18 score 56 stars 193 scripts 770 downloadsGeneTonic - Enjoy Analyzing And Integrating The Results From Differential Expression Analysis And Functional Enrichment Analysis
This package provides functionality to combine the existing pieces of the transcriptome data and results, making it easier to generate insightful observations and hypothesis. Its usage is made easy with a Shiny application, combining the benefits of interactivity and reproducibility e.g. by capturing the features and gene sets of interest highlighted during the live session, and creating an HTML report as an artifact where text, code, and output coexist. Using the GeneTonicList as a standardized container for all the required components, it is possible to simplify the generation of multiple visualizations and summaries.
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guigeneexpressionsoftwaretranscriptiontranscriptomicsvisualizationdifferentialexpressionpathwaysreportwritinggenesetenrichmentannotationgoshinyappsbioconductorbioconductor-packagedata-explorationdata-visualizationfunctional-enrichment-analysisgene-expressionpathway-analysisreproducible-researchrna-seq-analysisrna-seq-datashinytranscriptomeuser-friendly
8.02 score 82 stars 1 dependents 47 scriptsGeneTonic - Enjoy Analyzing And Integrating The Results From Differential Expression Analysis And Functional Enrichment Analysis
This package provides functionality to combine the existing pieces of the transcriptome data and results, making it easier to generate insightful observations and hypothesis. Its usage is made easy with a Shiny application, combining the benefits of interactivity and reproducibility e.g. by capturing the features and gene sets of interest highlighted during the live session, and creating an HTML report as an artifact where text, code, and output coexist. Using the GeneTonicList as a standardized container for all the required components, it is possible to simplify the generation of multiple visualizations and summaries.
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guigeneexpressionsoftwaretranscriptiontranscriptomicsvisualizationdifferentialexpressionpathwaysreportwritinggenesetenrichmentannotationgoshinyappsbioconductorbioconductor-packagedata-explorationdata-visualizationfunctional-enrichment-analysisgene-expressionpathway-analysisreproducible-researchrna-seq-analysisrna-seq-datashinytranscriptomeuser-friendly
8.00 score 82 stars 1 dependents 45 scripts 590 downloadspcaExplorer - Interactive Visualization of RNA-seq Data Using a Principal Components Approach
This package provides functionality for interactive visualization of RNA-seq datasets based on Principal Components Analysis. The methods provided allow for quick information extraction and effective data exploration. A Shiny application encapsulates the whole analysis.
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immunooncologyvisualizationrnaseqdimensionreductionprincipalcomponentqualitycontrolguireportwritingshinyappsbioconductorprincipal-componentsreproducible-researchrna-seq-analysisrna-seq-datashinytranscriptomeuser-friendly
7.88 score 56 stars 194 scriptsHCAData - Accessing The Datasets Of The Human Cell Atlas in R/Bioconductor
This package allows a direct access to the dataset generated by the Human Cell Atlas project for further processing in R and Bioconductor, in the comfortable format of SingleCellExperiment objects (available in other formats here: http://preview.data.humancellatlas.org/).
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rnaseqdatasinglecelldataexperimentdataexpressiondataexperimenthubbioconductordatasethuman-cell-atlasrna-seqsingle-cell-rna-seqdatapkg
6.62 score 10 stars 2 dependents 23 scriptsbettr - A Better Way To Explore What Is Best
bettr provides a set of interactive visualization methods to explore the results of a benchmarking study, where typically more than a single performance measures are computed. The user can weight the performance measures according to their preferences. Performance measures can also be grouped and aggregated according to additional annotations.
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visualizationshinyappsgui
6.50 score 7 stars 19 scripts 298 downloadsideal - Interactive Differential Expression AnaLysis
This package provides functions for an Interactive Differential Expression AnaLysis of RNA-sequencing datasets, to extract quickly and effectively information downstream the step of differential expression. A Shiny application encapsulates the whole package. Support for reproducibility of the whole analysis is provided by means of a template report which gets automatically compiled and can be stored/shared.
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immunooncologygeneexpressiondifferentialexpressionrnaseqsequencingvisualizationqualitycontrolguigenesetenrichmentreportwritingshinyappsbioconductordifferential-expressionreproducible-researchrna-seqrna-seq-analysisshinyuser-friendly
6.35 score 34 stars 11 scripts 743 downloadsideal - Interactive Differential Expression AnaLysis
This package provides functions for an Interactive Differential Expression AnaLysis of RNA-sequencing datasets, to extract quickly and effectively information downstream the step of differential expression. A Shiny application encapsulates the whole package. Support for reproducibility of the whole analysis is provided by means of a template report which gets automatically compiled and can be stored/shared.
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immunooncologygeneexpressiondifferentialexpressionrnaseqsequencingvisualizationqualitycontrolguigenesetenrichmentreportwritingshinyappsbioconductordifferential-expressionreproducible-researchrna-seqrna-seq-analysisshinyuser-friendly
6.01 score 34 stars 7 scriptsgeneLenDataBase - Lengths of mRNA transcripts for a number of genomes
Length of mRNA transcripts for a number of genomes and gene ID formats, largely based on UCSC table browser. Data objects are provided as individual pieces of information to be retrieved and loaded. A variety of different gene identifiers and genomes is supported to ensure wide applicability.
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experimentdatagenomedatapkg
5.49 score 11 dependents 31 scriptsflowcatchR - Tools to analyze in vivo microscopy imaging data focused on tracking flowing blood cells
flowcatchR is a set of tools to analyze in vivo microscopy imaging data, focused on tracking flowing blood cells. It guides the steps from segmentation to calculation of features, filtering out particles not of interest, providing also a set of utilities to help checking the quality of the performed operations (e.g. how good the segmentation was). It allows investigating the issue of tracking flowing cells such as in blood vessels, to categorize the particles in flowing, rolling and adherent. This classification is applied in the study of phenomena such as hemostasis and study of thrombosis development. Moreover, flowcatchR presents an integrated workflow solution, based on the integration with a Shiny App and Jupyter notebooks, which is delivered alongside the package, and can enable fully reproducible bioimage analysis in the R environment.
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softwarevisualizationcellbiologyclassificationinfrastructureguishinyappsbioconductorfluorescencemicroscopyparticlestracking
5.45 score 4 stars 574 downloadsmosdef - MOSt frequently used and useful Differential Expression Functions
This package provides functionality to run a number of tasks in the differential expression analysis workflow. This encompasses the most widely used steps, from running various enrichment analysis tools with a unified interface to creating plots and beautifying table components linking to external websites and databases. This streamlines the generation of comprehensive analysis reports.
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geneexpressionsoftwaretranscriptiontranscriptomicsdifferentialexpressionvisualizationreportwritinggenesetenrichmentgo
5.38 score 4 dependents 1 scripts 570 downloadsiSEEid - iSEE extension to assist in identifying sets of samples/cells
This package provides a dedicated panel to assist the sample identification within a single iSEE web-application. The main functionality of this package can be adopted to efficiently select samples (e.g. cells) that need to be identified and annotated in the analysis workflow. With iSEEid, the iSEE framework fully qualifies to be an ideal companion for assigning appropriate labels to large omics datasets.
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cellbasedassaysclusteringdimensionreductionfeatureextractiongeneexpressionguiimmunooncologyshinyappssinglecelltranscriptiontranscriptomicsvisualization
4.95 score 2 stars 1 scripts 450 downloadsKEGGemUP - Creating, Rendering, and Mapping Omics Data on KEGG Pathway Graphs
KEGGemUP retrieves and renders interactively KEGG pathway graphs. The retrieval makes full use of the caching functionality to avoid unnecessary download processes. The interactivity of the graph is warranted via the visNetwork interface to the vis.js library, fully supporting bindings to be used in Shiny for further operations.
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softwarepathwayskeggnetworkvisualizationdifferentialexpressiongraphandnetworktranscriptomicsproteomicsmetabolomicssystemsbiology
4.90 score 1 stars 2 scripts 242 downloadsquantiseqr - Quantification of the Tumor Immune contexture from RNA-seq data
This package provides a streamlined workflow for the quanTIseq method, developed to perform the quantification of the Tumor Immune contexture from RNA-seq data. The quantification is performed against the TIL10 signature (dissecting the contributions of ten immune cell types), carefully crafted from a collection of human RNA-seq samples. The TIL10 signature has been extensively validated using simulated, flow cytometry, and immunohistochemistry data.
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geneexpressionsoftwaretranscriptiontranscriptomicssequencingmicroarrayvisualizationannotationimmunooncologyfeatureextractionclassificationstatisticalmethodexperimenthubsoftwareflowcytometry
4.43 score 11 scripts 1.6k downloads