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index b3a08c8..7f4ea4a 100644
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@@ -6,6 +6,8 @@ Single-Cell ENhancer Target gene mapping using multimodal data with ATAC + RNA
 
 The manuscript is now publised in *Nature Genetics*! (Sakaue et al. ["**Tissue-specific enhancer-gene maps from multimodal single-cell data identify causal disease alleles**"](https://www.nature.com/articles/s41588-024-01682-1))
 
+[TOC]
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 ### Overview
@@ -20,8 +22,12 @@ SCENT uses single-cell multimodal data (e.g., 10X Multiome RNA/ATAC) and links A
 
 We use Poisson regression to associate gene expression (raw) count and (binarized) peak accessibility, and estimate errors in coefficients by bootstrapping framework to control for type I error.
 
+## 
 
+### Versions
 
+- **v1.0.1**: Aug 2024, bug fix in parallelization scripts in [Parallelized Bash Script](https://github.com/immunogenomics/SCENT/tree/main/Parallelized Bash Script)
+- **v1.0.0**: Jan 2024, first official release
 
 ### Installation of SCENT Package