RNA-seq is widely used for transcriptomic profiling, but the bioinformatics analysis of resultant data can be time-consuming and challenging, especially for biologists. Researchers at South Dakota State University...
Read More »CellView – Interactive Exploration Of High Dimensional Single Cell RNA-Seq Data
Advances in high-throughput single cell transcriptomics technologies have revolutionized the study of complex tissues. It is now possible to measure gene expression across thousands of individual cells to define cell types and states. While powerful computational and statistical frameworks are ...
Read More »ATGC transcriptomics – a web-based application to integrate, explore and analyze de novo transcriptomic data
In the last years, applications based on massively parallelized RNA sequencing (RNA-seq) have become valuable approaches for studying non-model species, e.g., without a fully sequenced genome. RNA-seq is a useful tool for detecting novel transcripts and genetic variations and for ...
Read More »DEIVA – a web application for interactive visual analysis of differential gene expression profiles
Differential gene expression (DGE) analysis is a technique to identify statistically significant differences in RNA abundance for genes or arbitrary features between different biological states. The result of a DGE test is typically further analyzed using statistical software, spreadsheets or ...
Read More »Oasis – online analysis of small RNA deep sequencing data
Oasis is a web application that allows for the fast and flexible online analysis of small-RNA-seq (sRNA-seq) data. It was designed for the end user in the lab, providing an easy-to-use web frontend including video tutorials, demo data, and best ...
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