Authors and contributions

Corresponding authors of the analysis presented in this website are listed above. Respective contributions include:

Dr. Anna Aulicino

Project conception, experimental design, experimental work, manuscript preparation and editing.

Dr. Kévin Rue-Albrecht

Computational analyses, manuscript preparation and editing.

Dr. Lorena Preciado-Llanes

Project conception, experimental design, experimental work, and manuscript editing.

Dr. Adam Cribbs

Computational analysis support.

Dr. David Sims

Computational analysis support.

Dr. Neil Ashley

Experimental work.

Dr. Giorgio Napolitani

Experimental design and support.

Prof. Alison Simmons

Project conception, experimental design, and supervision.

Resources

GitHub

The source code for this project is available on GitHub

High-throughput sequencing (HTS)

Trim Galore!

A wrapper script to automate quality and adapter trimming as well as quality control.

FastQC

A simple way to perform quality control checks on raw sequence data coming from HTS pipelines.

MultiQC

Aggregate results from bioinformatics analyses across many samples into a single report.

HISAT2

A fast and sensitive alignment program for mapping HTS reads (both DNA and RNA) to a population of human genomes (as well as to a single reference genome).

featureCounts

A highly efficient general-purpose read summarization program that counts mapped reads for genomic features such as genes, exons, promoter, gene bodies, genomic bins and chromosomal locations.

Ensembl

A genome browser for vertebrate genomes that supports research in comparative genomics, evolution, sequence variation and transcriptional regulation.

For this analysis the following data was obtained from the Ensembl FTP (release 86) server:

  • Homo sapiens genome build, primary assembly sequence
  • Genomic feature annotations

ThermoFisher

Supplier of analytical instruments, lab equipment and specialty diagnostics. For this analysis, the following information was obtained from the product web page:

Bioconductor

This community project provides tools for the analysis and comprehension of high-throughput genomic data.

edgeR

Differential expression analysis of RNA-seq expression profiles with biological replication. Used here to import raw counts for all samples (including bulks, blanks, and single cells).

scater

A collection of tools for doing various analyses of single-cell RNA-seq gene expression data, with a focus on quality control.

scran

Implements a variety of low-level analyses of single-cell RNA-seq data. Methods are provided for normalization of cell-specific biases, assignment of cell cycle phase, and detection of highly variable and significantly correlated genes.

scde

The scde package implements a set of statistical methods for analysing single-cell RNA-seq data. scde fits individual error models for single-cell RNA-seq measurements. These models can then be used for assessment of differential expression between groups of cells, as well as other types of analysis.

R Studio

This interactive website was created as an R Markdown Website

CRAN

A network of ftp and web servers around the world that store identical, up-to-date, versions of code and documentation for R.

ggplot2

A plotting system for R, based on the grammar of graphics.

Independent R packages

BASiCS

An integrated Bayesian hierarchical model where:

  • Cell-specific normalization constants are estimated as part of the model parameters.
  • Technical variability is quantified based on spike-in genes that are artificially introduced to each analysed cells lysate.
  • The total variability of the expression counts is decomposed into technical and biological components.

Session info

sessionInfo()
## R Under development (unstable) (2017-11-09 r73698)
## Platform: x86_64-apple-darwin16.7.0 (64-bit)
## Running under: macOS High Sierra 10.13.3
## 
## Matrix products: default
## BLAS: /usr/local/lib/R/lib/libRblas.dylib
## LAPACK: /usr/local/lib/R/lib/libRlapack.dylib
## 
## locale:
## [1] en_GB.UTF-8/en_GB.UTF-8/en_GB.UTF-8/C/en_GB.UTF-8/en_GB.UTF-8
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## loaded via a namespace (and not attached):
##  [1] compiler_3.5.0  backports_1.1.2 magrittr_1.5    rprojroot_1.3-2
##  [5] tools_3.5.0     htmltools_0.3.6 yaml_2.1.18     Rcpp_0.12.16   
##  [9] stringi_1.1.7   rmarkdown_1.9   knitr_1.20      stringr_1.3.0  
## [13] digest_0.6.15   evaluate_0.10.1