Results for "GO"

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  • Cytoscape

    Cytoscape is an open source software platform for visualizing complex networks and integrating these with any type of attribute data. A lot of Apps are available for various kinds of problem domains, including bioinformatics, social network analysis, and semantic web.

    Tags: Bioinformatics, Cytoscape, Software, Platform, Visualization, Networks, GO

    2894 days ago

  • ClueGO

    ClueGO is a Cytoscape plug-in that visualizes the non-redundant biological terms for large clusters of genes in a functionally grouped network and it can be used in combination with GOlorize.

    Tags: Bioinformatics, ClueGO, GO, Cytoscope, Pie

    2884 days ago

  • BioDBnet

    Database to Database Conversions db2db allows for conversions of identifiers from one database to other database identifiers or annotations. To use db2db select the input type of your data, changing the input type automatically changes the output options to the ones specific for the input selec...

    Tags: Bioinformatics, Database, Conversions, BioDBnet, GO

    2884 days ago

  • clusterProfiler

    statistical analysis and visulization of functional profiles for genes and gene clustersBioconductor version: Release (3.3)This package implements methods to analyze and visualize functional profiles (GO and KEGG) of gene and gene clusters.Author: Guangchuang Yu <guangchuangyu at gmail.com>...

    Tags: Bioinformatics, clusterProfiler, GO, R, Package, Omics, Genes, Cluster

    2869 days ago

  • Enrichr: a comprehensive gene set enrichment analysis

    Enrichment analysis is a popular method for analyzing gene sets generated by genome-wide experiments. Here we present a significant update to one of the tools in this domain called Enrichr. Enrichr currently contains a large collection of diverse gene set libraries available for analysis and down...

    Tags: Bioinformatics, Analysis, Enrichment, Enrichr, Web, Server, GO, Pathway, Genes, BED, Ontologies, Drug, Cell, Disease

    2555 days ago

  • WEGO : simple but useful tool for visualizing, comparing and plotting GO (Gene Ontology) annotation results

    WEGO (Web Gene Ontology Annotation Plot) is a simple but useful tool for visualizing, comparing and plotting GO (Gene Ontology) annotation results. As the GO vocabulary became more and more popular, WEGO was widely adopted and used in many researches. Therefore we have updated WEGO 2.0 in 2018. H...

    Tags: WEGO, Web, Gene, Ontology, Annotation, Plot, tool, visualizing, plotting, GO, Gene, Ontology, annotation, results

    1474 days ago

  • ShinyGO v0.61: Gene Ontology Enrichment Analysis + more

    2/3/2020: Now published by Bioinformatics. 11/3/2019: V 0.61, Improve graphical visualization (thanks to reviewers). Interactive networks and much more. 5/20/2019: V.0.60, Annotation database updated to Ensembl 96. New bacterial and fungal genomes based on STRING-db! Just paste your gene l...

    Tags: ShinyGO, Gene, Ontology, Enrichment, GO, Analysis

    1422 days ago

  • Predict Gene Ontology with sequences !

    PANNZER (Protein ANNotation with Z-scoRE) is a fully automated service for functional annotation of prokaryotic and eukaryotic proteins of unknown function. The tool is designed to predict the functional description (DE) and GO classes. PANNZER2 processes bacterial proteomes in minutes and ...

    Tags: Predict, Gene, Ontology, Sequences, GO

    1387 days ago

  • CrowdGO: Machine learning and semantic similarity guided consensus Gene Ontology annotation

    CrowdGO is a protein Gene Ontology predictor using a meta approach, analyzing the predictions of other tools in order to get an improved precision and recall. Please note that the CrowdGO snakemake workflow is currently only tested on Ubuntu. It should work on OSX, but please report any errors t...

    Tags: CrowdGO, Machine, learning, semantic, similarity, guided, consensus, Gene, Ontology, annotation, GO

    700 days ago

  • Understanding GO analysis

    The confusion about gene ontology and gene ontology analysis can start right from the term itself. There are actually two different entities that are commonly referred to as gene ontology or “GO”: the ontology itself, which is a set of terms with their precise definitions and ...

    Tags: GO, Analysis, Enrichments

    442 days ago