Single-cell RNA sequence analysis is part of Next Generation Sequencing(NGS) and allows investigating the gene expression profile of thousands of cells simultaneously. Through this experiment, one can study the cellular heterogeneity and try to find new rare cell types. However, despite the continuous growth of this technology, there are some problems, especially with the cross-validation of the results. For this reason, this thesis work aimed to explore the current state of the art and find possible alternatives. In this regard, it has been found a recent technique called SNARE-sequencing, which from the same sample of cells makes not only scRNA-seq but also single-cell ATAC sequencing.