---
title: "Introduction to singleCellTK"
author:
- name: David Jenkins
  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: Rui Hong
  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: Salam Abdullatif
  affiliation: 
  - The Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA
- name: Vidya Akapoor
  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: Xinyun Cao
  affiliation: 
  - Rafik B. Hariri Institute for Computing and Computational Science and Engineering, 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: Anastasia Leshchyk
  affiliation: 
  - The Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA
  - Program in Bioinformatics, Boston University, Boston, MA
- name: Irzam Sarfraz
  affiliation: 
  - The Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA
- name: Yichen Wang
  affiliation: 
  - The Section of Computational Biomedicine, Boston University School of Medicine, 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.sctk.science.

* [Installation/Introduction](https://www.sctk.science/articles/v01-introduction_to_singlecelltk)

## Interactive Analysis

* [Uploading Data](https://www.sctk.science/articles/v03-tab01_upload)
* [Data Summary and Filtering](https://www.sctk.science/articles/v04-tab02_data-summary-and-filtering)
* [Visualization and Clustering](https://www.sctk.science/articles/v05-tab03_visualization-and-clustering)
* [Batch Correction](https://www.sctk.science/articles/v06-tab04_batch-correction)
* [Differential Expression](https://www.sctk.science/articles/v07-tab05_differential-expression)
* [Pathway Activity Analysis](https://www.sctk.science/articles/v08-tab06_pathway-activity-analysis)
* [Sample Size](https://www.sctk.science/articles/v09-tab07_sample-size)

## R Console Analysis

* [Processing and Visualizing Data in the Single Cell Toolkit](https://www.sctk.science/articles/v02-processing_and_visualizing_data_in_the_singlecelltk)
* [Aligning and Quantifying scRNA-Seq Data](https://www.sctk.science/articles/v10-aligning_and_quantifying_scrna-seq_data)

# Session info {.unnumbered}

```{r sessionInfo, echo=FALSE}
sessionInfo()
```