While single-cell RNA sequencing is a fast-growing technology and helping to resolve tissue heterogeneity and cellular transitional states at high resolution, not all the scientists can explore their data by themselves due to the large data size, on matrices with ...
Read More »Visualization methods for differential expression analysis
Despite the availability of many ready-made testing software, reliable detection of differentially expressed genes in RNA-seq data is not a trivial task. Even though the data collection is considered...
Read More »GenePattern Notebook for analysis and exploration of single-cell transcriptomic data
Single-cell RNA sequencing (scRNA-seq) has emerged as a popular method to profile gene expression at the resolution of individual cells...
Read More »WIlsON: Web-based Interactive Omics VisualizatioN
High throughput (HT) screens in the omics field are typically analyzed by automated pipelines that generate static visualizations and comprehensive spreadsheet data for scientists. However, exploratory and hypothesis driven data analysis are key aspects for the understanding of biological systems, ...
Read More »iSEE – an interactive Shiny-based graphical user interface for exploring data stored in SummarizedExperiment objects
Data exploration is critical to the comprehension of large biological datasets obtained by high-throughput assays such as sequencing. Interactive exploration fosters the generation of novel data-driven hypotheses...
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