From 58fa27bfc6c72202af5650c5badb2c59cf004985 Mon Sep 17 00:00:00 2001
From: Asier Ortega Legarreta <94969412+asiort@users.noreply.github.com>
Date: Wed, 14 Aug 2024 11:00:13 +0200
Subject: [PATCH] Adding version 2.0 link

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 README.md | 2 ++
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 # GeneSetCluster
 
+GeneSetCluster version 2.0 is available: https://github.com/TranslationalBioinformaticsUnit/GeneSetCluster2.0
+
 Gene-set analysis (GSA) tools aim to provide biological context by identifying gene-sets associated with a given trait or traits of interest. Gene-set analysis tools are frequently gene-centric, using as input results from studies using RNA-seq or microarrays data (e.g. Ingenuity or GSEA among many others), but it has also been adapted for interval-based analysis derived from data-types such as DNA methylation or ChIP/ATAC-seq. 
 
 Gene-sets are derived from knowledge bases which group genes on the basis of shared biological or functional properties; GSA tools provide, as a result, a list of significant gene-sets. However, while these results are useful for the researcher in the identification of major biological insights, they may be complex to interpret because many gene-sets have largely overlapping gene content or because the result consists of a large number of gene-sets making it complicated to identify the major biological insights.