Search Results for "gene set enrichment analysis"
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Showing 20 open source projects for "gene set enrichment analysis"
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gsasnp2
PubMed ID: 29562348 / DOI: 10.1093/nar/gky175
* GSA-SNP2 is a successor of GSA-SNP (Nam et al. 2010, NAR web server issue). GSA-SNP2 accepts human GWAS summary data (rs numbers, p-values) or gene-wise p-values and outputs pathway genesets ‘enriched’ with genes associated with the given phenotype. It also provides both local and global protein interaction networks in the associated pathways. * Article: SYoon, HCTNguyen, YJYoo, JKim, BBaik, SKim, JKim, SKim, DNam, "Efficient pathway enrichment and network analysis of GWAS summary data... -
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enrichmentpipeline
enrichment analysis for customized organisms
Do Gene set enrichment analysis for any organisms. -
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Clustergrammer
An interactive heatmap visualization built using D3.js
... interactive visualizations that enable intuitive exploration of high-dimensional data and has several biology-specific features (e.g. enrichment analysis, see Biology-Specific Features) to facilitate the exploration of gene-level biological data. -
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Panacea
PAN And Core-gEnome Analysis
A tool to calculate the Pan-Genome of a set of annotated genomes -
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IGSA
Individual Gene Sets Analysis
IGSA (Individual Gene Sets Analysis) is an application software based on Java and R that leverages a powerful analytical capacity. It can be used for gene sets enrichment and samples clustering. In gene sets enrichment, IGSA takes account of the heterogeneity of genes expression in samples and the homogeneity at the functional level, trying to pick out more particular and more significant gene sets. In sample clustering, IGSA clusters the samples based on the significant pathways rather than... -
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HPOSim
Analysis phenotypic similarity between genes and between diseases
This package implements multiple similarity measures for HPO terms, genes and diseases. It is aiming at phenotype analysis for gene sets and disease sets. Functions for HPO enrichment analysis is also provided. -
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AccNET
AccNET: Accessory Genome Constellation Network.
AccNET is a Perl application that presents a new way to study the accessory genome of a given set of organisms. Using the proteomes of these organisms, AccNET create a bipartite network compatible with common network analysis platforms. AccNET collects phylogenetic and functional information in a network improving the analysis capability. Networks offer a new perspective of organism organization through elements acquired by horizontal gene transfers and not constricted by hierarchical... -
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Zika-RNAseq-Pipeline
An open RNA-Seq data analysis pipeline tutorial
... configuration overhead. The pipeline enables the extraction of knowledge from typical RNA-seq studies by generating interactive principal component analysis (PCA) and hierarchical clustering (HC) plots, performing enrichment analyses against over 90 gene set libraries, and obtaining lists of small molecules that are predicted to either mimic or reverse the observed changes in mRNA expression. -
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... modularity and robustness is conserved in a large set of randomly structured networks. The app provides various visualization modes to better elucidate topological relations between modules, and tabular results of centrality and gene ontology enrichment analyses of modules.
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goSTAG
Gene Ontology Subtrees to Tag and Annotate Genes within a set
We developed goSTAG for utilizing Gene Ontology Subtrees to Tag and Annotate Genes that are part of a set. Given gene lists, goSTAG performs GO enrichment analysis and clusters the GO terms based on the p-values from the significance tests. GO subtrees are constructed for each cluster, and the term that has the most paths to the root within the subtree is used to tag and annotate the cluster. -
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PGAP
PGAP is a pipeline for pan-genome analysis.
PGAP is a pan-genomes analysis pipeline developed with Perl. It could perform five analytic functions with only one command, including cluster analysis of functional genes, pan-genome profile analysis, genetic variation analysis of functional genes, species evolution analysis and function enrichment analysis of gene clusters. -
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GSA-SNP is a gene set analysis software that can process SNP data as well as gene and haplotype data.
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Modular Single-set Enrichment Test
A randomization testing script for genetic enrichment analysis
The Modular Single-set Enrichment Test (MSET) is a randomization testing script written in R that allows the user to statistically assess overrepresentation of any gene list of interest within a list of significant gene results from an expression study. MSET uses a tcltk graphical user interface and is optimized for use in Windows operating systems. It also works in OS X, but requires the installation of the XQuartz architecture (https://xquartz.macosforge.org/trac/wiki) to enable tcltk... -
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Bayesian Estimated Core Genome
A pipeline for estimating the core genome of a set of genome sequences
This collection of tools, Bayesian Estimated Core Genome Tools, is intended to provide a simple pipeline for calculating the estimated core genome of a set of genome sequences, based on the output obtained from Genome Comparator [1]. As well as calculating the estimated core genome, tools are also provided for the calculation of median pairwise distances for alignments generated by Genome Comparator for each gene based on the reference genome. Finally, there is a tool for generating... -
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ConoSorter
A Large-scale Cone Snail Transcriptome/Proteome Analysis Program
ConoSorter is a high-throughput standalone program that implements regular expressions and profile Hidden Markov Models (pHMMs) for large-scale identification and classification of precursor conopeptides into gene superfamilies and classes based on the ER signal, pro-, and mature conopeptide regions generated from raw next-generation transcriptomic or proteomic data. ConoSorter also generates a set of relevant additional information (frequency of protein sequences, length, number... -
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confero
Confero is an Integrated contrast and gene set platform
Confero is an integrated contrast and gene set platform for computational analysis and biological interpretation of omics data. -
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AMBIENT
Find active modules in metabolic networks using high-throughput data
... some consistent characteristic. AMBIENT does not require predefined pathways and gives highly specific predictions of affected areas of metabolism. For example, scores for reactions based on transcriptional data of their annotated encoding genes can be used in the network and modules of coordinated expression changes can be found. This provides an alternative to pathway/gene set enrichment analyses which is simultaneously more flexible and more specific. -
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Hoea is a python module for hierarchical ontology enrichment analysis, which facilitated GO (Gene Ontology)/KO (KEGG Orthology) enrichment analysis at any desktop.
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DASS-GUI is a graphical user interface for pattern search in non-sequential data.
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