CSBB-Shiny v1.5

Computational Suite for Bioinformaticians and Biologists (CSBB), is a RShiny application developed with an intention to empower researchers from wet and dry lab to perform downstream Bioinformatics analysis. CSBB powered by RShiny is packed with 8 modules Visualization, Normalization, Basic Stats, Differential Expression, Correlation Profiles, Function/Pathway Enrichment, ChIP-ATAC Seq and Single Cell RNA-Seq analysis. These modules are designed in order to help researchers design a hypothesis or answer research questions with little or no expertise in Bioinformatics. CSBB is also available as a command line application and has Next generation sequencing data processing capabilities. New modules and functionalities will be added periodically.
CSBB-Shiny v1.5 is a stable release.

CSBB-Shiny v1.4

Computational Suite for Bioinformaticians and Biologists (CSBB), is a RShiny application developed with an intention to empower researchers from wet and dry lab to perform downstream Bioinformatics analysis. CSBB powered by RShiny is packed with 8 modules Visualization, Normalization, Basic Stats, Differential Expression, Correlation Profiles, Function/Pathway Enrichment, ChIP-ATAC Seq and Single Cell RNA-Seq analysis. These modules are designed in order to help researchers design a hypothesis or answer research questions with little or no expertise in Bioinformatics. CSBB is also available as a command line application and has Next generation sequencing data processing capabilities. New modules and functionalities will be added periodically.
CSBB-Shiny v1.4 is a stable release.

Version 1.4 Log:

Added new features to Single Cell Analysis Module like option to regress cell-cycle effect, choose between LogNormalize or SCTransform, choose from multiple differential test for marker prediction, generate QC plot and lastly generate dimension plot with cell cycle phase. Users can input raw counts, H5 output from cellranger or a processed R object. CSBB-Shiny uses Seurat (a powerful scRNA-Seq analysis toolkit) to help users analyze scRNA-Seq datasets. CSBB Shiny will be updated periodically. Stay Tuned.

Version 1.3 Log:

Presenting Single cell RNA-Seq analysis module for analyzing scRNA-Seq datasets. Users can input raw counts, H5 output from cellranger or a processed R object. CSBB-Shiny uses Seurat (a powerful scRNA-Seq analysis toolkit) to help users analyze scRNA-Seq datasets. CSBB Shiny will be updated periodically. Stay Tuned.

Version 1.2 Log:

Dusted off some bugs in ChIP-ATAC Seq Analysis Module, thereby enhancing user experience. Bugs removed include: plots not being saved or not being refereshed. Removed the option to create tag density heatmap. Replaced pie chart with bar plot for visualizing peak region enrichment. CSBB Shiny will be updated periodically. Stay Tuned.

Version 1.1 Log:

Brushed off some known bugs which entered the system and added new Module ChIP-ATAC Seq Analysis for users. CSBB Shiny will be updated periodically. Some known bugs kicked out include result files and plots file naming, threshold changes, text changes

Version 1.0 Log:

CSBB powered by Shiny has 6 modules and is built with an idea to empower researchers in performing bioinformatics analysis with little or no bioinformatics expertise