Publication | Open Access
GUAVA: A Graphical User Interface for the Analysis and Visualization of ATAC-seq Data
21
Citations
19
References
2018
Year
Adapter TrimmingEngineeringGeneticsGraphical User InterfaceInteractive Data ExplorationData VisualizationData ExplorationGenomicsTransposase Accessible ChromatinBioinformatics DatabaseData ScienceComputational GenomicsExploratory Data AnalysisData IntegrationBiostatisticsData ManagementOmicsBioinformaticsFunctional GenomicsParallel VisualizationChromatinGene Sequence AnnotationBioinformatics BackgroundOmics DatasetsComputational BiologyGraphical AnalysisAtac-seq DataSystems BiologyMedicineData Modeling
Assay for Transposase Accessible Chromatin with high-throughput sequencing (ATAC-seq) is a powerful genomic technology that is used for the global mapping and analysis of open chromatin regions. However, for users to process and analyze such data they either have to use a number of complicated bioinformatic tools or attempt to use the currently available ATAC-seq analysis software, which are not very user friendly and lack visualization of the ATAC-seq results. Because of these issues, biologists with minimal bioinformatics background who wish to process and analyze their own ATAC-seq data by themselves will find these tasks difficult and ultimately will need to seek help from bioinformatics experts. Moreover, none of the available tools provide complete solution for ATAC-seq data analysis. Therefore, to enable non-programming researchers to analyze ATAC-seq data on their own, we developed a tool called Graphical User interface for the Analysis and Visualization of ATAC-seq data (GUAVA). GUAVA is a standalone software that provides users with a seamless solution from beginning to end including adapter trimming, read mapping, the identification and differential analysis of ATAC-seq peaks, functional annotation, and the visualization of ATAC-seq results. We believe GUAVA will be a highly useful and time-saving tool for analyzing ATAC-seq data for biologists with minimal or no bioinformatics background. Since GUAVA can also operate through command-line, it can easily be integrated into existing pipelines, thus providing flexibility to users with computational experience.
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