With new technological developments, the number of sequencing applications is continuously expanding, while at the same time sequencing prices are falling. This is resulting in an exponential increase in sequencing data. However, while ‘big data’ brings more...
Read More »Visualize, analyze and manage Seurat and Scanpy single-cell objects in an interactive platform
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 »An “eFP-Seq Browser” for visualizing and exploring RNA-seq data
Improvements in next-generation sequencing technologies have resulted in dramatically reduced sequencing costs. This has led to an explosion of "-seq"-based methods, of which RNA-seq for generating transcriptomic data is the most popular...
Read More »Improved RNA data visualization method gets to the bigger picture faster
Like going from a pinhole camera to a Polaroid, a significant mathematical update to the formula for a popular bioinformatics data visualization method will...
Read More »DEBrowser – interactive differential expression analysis and visualization tool for count data
Sequencing data has become a standard measure of diverse cellular activities. For example, gene expression is accurately measured by RNA sequencing (RNA-Seq) libraries, protein-DNA interactions are...
Read More »New software makes makes single cell RNA-seq analysis and visualization easier
Qlucore has launched the latest version if its Omics Explorer software, 3.4 whiuch enables Single cell RNA-seq analysis with a one button configuration...
Read More »ExpressionDB – An open source platform for distributing genome-scale datasets
RNA-sequencing (RNA-seq) and microarrays are methods for measuring gene expression across the entire transcriptome. Recent advances have made these techniques practical and affordable for essentially any laboratory with experience in molecular biology. A variety of computational methods have been developed ...
Read More »Prior Knowledge And Sampling Model Informed Learning With Single Cell RNA-Seq Data
Single cell RNA-seq (scRNA-seq) experiments can provide a wealth of information about heterogeneous, multi-cellular systems. However, this information has to be inferred computationally from sequencing reads which constitute a sparse and noisy sub-sampling of the actual cellular transcriptomes. Here, University ...
Read More »shinyheatmap – Ultra fast low memory heatmap web interface for big data genomics
Prior publications in the biological heatmap visualization field have focused predominantly on the production of static heatmaps, which do not constitute a computational challenge and are relatively simple to make using limited computational resources. In contrast, interactive heatmaps present a ...
Read More »QuickRNASeq – Guide For Pipeline Implementation And For Interactive Results Visualization
Sequencing of transcribed RNA molecules (RNA-seq) has been used wildly for studying cell transcriptomes in bulk or at the single-cell level and is becoming the de facto technology for investigating gene expression level changes in various biological conditions, on the ...
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