A standalone interactive application for detecting biological significance on a set of genes
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Updated
May 2, 2021 - R
A standalone interactive application for detecting biological significance on a set of genes
TransPi – a comprehensive TRanscriptome ANalysiS PIpeline for de novo transcriptome assembly
A comprehensive gene set function enrichment tool for multiple species.
Pipeline to identify repetitive elements on non-model species genomes.
PABLOG: a Primer Analysis tool using a Bee-Like approach on Orthologous Genes
This project features a pipeline for Gene Ontology (GO) enrichment analysis on candidate genes with functional transcriptome annotations. It identifies enriched Biological Processes (BP), Cellular Components (CC), and Molecular Functions (MF), using R and Python to create 2D treemaps and interactive 3D visualizations of GO terms.
Collection of code that maps IDs and does enrichment.
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