gene-ontology
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The mission of the GO Consortium is to develop a comprehensive, computational model of biological systems, ranging from the molecular to the organism level, across the multiplicity of species in the tree of life.
The Gene Ontology (GO) knowledgebase is the world’s largest source of information on the functions of genes. This knowledge is both human-readable and machine-readable, and is a foundation for computational analysis of large-scale molecular biology and genetics experiments in biomedical research.
Here are 16 public repositories matching this topic...
R Package for Gene Ontology Label Discernment and Identification.
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Aug 22, 2017 - R
ChIP-seq/RNA-seq analysis software suite for gene expression heatmaps
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Oct 12, 2017 - R
Set of small R scripts helpful in various bioinformatics projects
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Mar 12, 2019 - R
This is a version of topGO using roxygen2 and Rmd
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May 22, 2019 - R
scrape REVIGO Gene Ontology web app and plot results
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Mar 17, 2021 - R
A standalone interactive application for detecting biological significance on a set of genes
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May 2, 2021 - R
Code for representing Gene Ontology Enrichment Analysis as a circular barplot.
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Oct 5, 2021 - R
Gene prioritisation tool using a weighted network methodology based on Gene Ontology and Human Phenotype Ontology annotations to infer closely related genes to given genes of interest.
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Nov 2, 2022 - R
miRinGO: Prediction of GO terms indirectly targeted by human microRNAs
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Jan 7, 2023 - R
Functional analysis of metabolic and transcriptomic data
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Apr 11, 2023 - R
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May 22, 2023 - R
Link Gene Ontology IDs to cell types
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Sep 2, 2023 - R
Differential Gene Expression (DGE) Analysis in Curated Microarray Data of Breast Cancer Subtypes
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Oct 30, 2023 - R
RNA-seq pipeline to identify wasp-induced gene expression in Drosophila
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Jan 21, 2024 - R
⛳ GO-terms Semantic Similarity Measures
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May 15, 2024 - R
Released 1999
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- geneontology
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