Last updated: 2024-10-09
Checks: 2 0
Knit directory: damsel_paper/analysis/
This reproducible R Markdown analysis was created with workflowr (version 1.7.1). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.
Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.
Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility.
The results in this page were generated with repository version db488ae. See the Past versions tab to see a history of the changes made to the R Markdown and HTML files.
Note that you need to be careful to ensure that all relevant files for
the analysis have been committed to Git prior to generating the results
(you can use wflow_publish
or
wflow_git_commit
). workflowr only checks the R Markdown
file, but you know if there are other scripts or data files that it
depends on. Below is the status of the Git repository when the results
were generated:
Ignored files:
Ignored: .DS_Store
Ignored: .Rhistory
Ignored: .Rproj.user/
Ignored: data/.DS_Store
Ignored: renv/library/
Ignored: renv/staging/
Untracked files:
Untracked: code/helper-vissers.R
Untracked: data/damsel_counts.rds
Untracked: data/damsel_counts_a.rds
Untracked: data/damsel_counts_b.rds
Untracked: data/sd_1_SRR794884-vs-Dam.kde-norm.gatc-FDR0.01.peaks.gff
Untracked: data/sd_2_SRR7948877-vs-Dam.kde-norm.gatc-FDR0.01.peaks.gff
Untracked: data/txdb_genes.rds
Untracked: output/damsel_dm.rds
Untracked: output/damsel_genes.rds
Untracked: output/damsel_peaks.rds
Untracked: output/fp_vissers_peaks.txt
Untracked: output/keep
Untracked: output/lrt_sd.txt
Untracked: output/marshall_peaks.rds
Untracked: output/peaks.txt
Untracked: output/vissers_dm.rds
Untracked: output/vissers_peaks.rds
Untracked: output/vissers_peaks.txt
Untracked: output/vissers_peaks_mod.rds
Untracked: outputvenn_plot.png
Untracked: renv/.gitignore
Unstaged changes:
Modified: analysis/compare_genes.Rmd
Modified: code/run-Damsel.R
Modified: code/run-Vissers.R
Modified: renv.lock
Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.
These are the previous versions of the repository in which changes were
made to the R Markdown (analysis/index.Rmd
) and HTML
(docs/index.html
) files. If you’ve configured a remote Git
repository (see ?wflow_git_remote
), click on the hyperlinks
in the table below to view the files as they were in that past version.
File | Version | Author | Date | Message |
---|---|---|---|---|
Rmd | db488ae | caitlinpage | 2024-10-09 | wflow_publish("index.Rmd") |
html | d24b8ad | caitlinpage | 2024-10-02 | Build site. |
Rmd | 8a65d9f | caitlinpage | 2024-10-02 | wflow_publish("analysis/index.Rmd") |
html | 9d65b1a | caitlinpage | 2024-10-02 | Build site. |
Rmd | 6654a4f | caitlinpage | 2024-10-02 | wflow_publish("analysis/index.Rmd") |
html | cf487bc | caitlinpage | 2024-10-02 | Build site. |
Rmd | e761f85 | caitlinpage | 2024-10-02 | wflow_publish("analysis/index.Rmd") |
html | 3ad67cf | caitlinpage | 2024-10-02 | Build site. |
Rmd | e8a632e | caitlinpage | 2024-10-02 | wflow_publish("analysis/index.Rmd") |
Rmd | 554ccee | caitlinpage | 2024-08-16 | Start workflowr project. |
Damsel: analysis and visualisation of DamID Sequencing in R
This site contains the analysis conducted in “Damsel: analysis and visualisation of DamID Sequencing in R”
Abstract DamID sequencing is a technique to map the genome-wide interaction of a protein with DNA. Damsel is the first Bioconductor package to provide an end to end analysis for DamID sequencing data within R. Damsel performs quantification and testing of significant binding sites along with exploratory and visual analysis. Damsel produces results consistent with previous analysis approaches.
Compare Damsel and Vissers’ differential methylation results
Compare Damsel, Vissers’, and Marshall & Brand pipelines peak results
Compare Damsel, Vissers’ and Marshall & Brand pipelines gene results
Analysis of false positive rate for Damsel and Vissers’ methods
Analysis of gene ontology results for Damsel and Vissers’ methods