Last updated: 2024-10-09

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Knit directory: damsel_paper/analysis/

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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.

Authors

Caitlin G Page1,2, Andrew Lonsdale1,2,3, Katrina A Mitchell1,2, Jan Schröder4, Kieran F Harvey1,2,5, Alicia Oshlack1,2,6+

1 Peter MacCallum Cancer Centre
2 Sir Peter MacCallum Department of Oncology, The University of Melbourne
3 Murdoch Children’s Research Institute, Parkville, VIC, 3052, Australia 4 Computational Sciences Initiative, Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, The University of Melbourne
5 Department of Anatomy and Developmental Biology, and Biomedicine Discovery Institute, Monash University
6 School of Mathematics and Statistics, The University of Melbourne
+ corresponding author

Analysis

  1. Analyse DamID-Seq with Damsel

  2. Analyse DamID-Seq with Vissers’ pipeline

  3. Overview of comparing methods

  4. Compare Damsel and Vissers’ differential methylation results

  5. Compare Damsel, Vissers’, and Marshall & Brand pipelines peak results

  6. Compare Damsel, Vissers’ and Marshall & Brand pipelines gene results

  7. Analysis of false positive rate for Damsel and Vissers’ methods

  8. Analysis of gene ontology results for Damsel and Vissers’ methods