--- title: "Introduction to singleCellTK" author: - name: Yichen Wang affiliation: - The Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA - name: Irzam Sarfraz affiliation: - The Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA - name: Rui Hong affiliation: - The Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA - Program in Bioinformatics, Boston University, Boston, MA - name: Yusuke Koga affiliation: - The Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA - Program in Bioinformatics, Boston University, Boston, MA - name: Salam Abdullatif affiliation: - The Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA - name: Nida Pervaiz affiliation: - The Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA - name: David Jenkins affiliation: - The Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA - Program in Bioinformatics, Boston University, Boston, MA - name: Vidya Akavoor affiliation: - Rafik B. Hariri Institute for Computing and Computational Science and Engineering, Boston University, Boston, MA - name: Xinyun Cao affiliation: - Rafik B. Hariri Institute for Computing and Computational Science and Engineering, Boston University, Boston, MA - name: Shruthi Bandyadka affiliation: - The Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA - Program in Bioinformatics, Boston University, Boston, MA - name: Anastasia Leshchyk affiliation: - The Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA - Program in Bioinformatics, Boston University, Boston, MA - name: Tyler Faits affiliation: - The Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA - Program in Bioinformatics, Boston University, Boston, MA - name: Mohammed Muzamil Khan affiliation: - The Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA - Program in Bioinformatics, Boston University, Boston, MA - name: Zhe Wang affiliation: - The Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA - Program in Bioinformatics, Boston University, Boston, MA - name: W. Evan Johnson affiliation: - The Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA - Program in Bioinformatics, Boston University, Boston, MA - name: Joshua D. Campbell affiliation: - The Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA - Program in Bioinformatics, Boston University, Boston, MA email: camp@bu.edu package: singleCellTK output: BiocStyle::html_document: toc_float: false vignette: > %\VignetteIndexEntry{1. Introduction to singleCellTK} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- The Single Cell Toolkit (SCTK) is an interactive scRNA-Seq analysis package that allows a user to upload raw scRNA-Seq count matrices and perform downstream scRNA-Seq analysis interactively through a web interface, or through a set of R functions through the command line. The package is written in R with a graphical user interface (GUI) written in Shiny. Users can perform analysis with modules for conducting quality control, clustering, batch correction, differential expression, pathway enrichment, and sample size calculator, all in a simple to use point and click interface. The toolkit also supports command line data processing, and results can be loaded into the GUI for additional exploration and downstream analysis. # Vignettes Due to the range of features that are available in SCTK, we have prepared several vignettes to help you get started, which are all available at [https://www.camplab.net/sctk/](https://www.camplab.net/sctk/) # Session info {.unnumbered} ```{r sessionInfo, echo=FALSE} sessionInfo() ```