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RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...

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Updated: Jun 7, 2025

DamID-seq: Genome-wide Mapping of Protein-DNA Interactions by High Throughput Sequencing of Adenine-methylated DNA Fragments

DamID-seq: Genome-wide Mapping of Protein-DNA Interactions by High Throughput Sequencing of Adenine-methylated DNA Fragments

Published on: January 27, 2016

Damsel: analysis and visualisation of DamID sequencing in R.

Caitlin G Page^1,2, Andrew Londsdale^1,2,3, Katrina A Mitchell^1,2

¹Peter MacCallum Cancer Centre, Melbourne, 3000, Australia.

Bioinformatics (Oxford, England)

|November 19, 2024

Summary

This summary is machine-generated.

Damsel is a new R package for analyzing DamID sequencing data, which maps protein-DNA interactions genome-wide. It offers a complete workflow for quantification, binding site identification, and visualization, ensuring consistent results.

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DamID-seq: Genome-wide Mapping of Protein-DNA Interactions by High Throughput Sequencing of Adenine-methylated DNA Fragments

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Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

DamID sequencing is a method for mapping genome-wide protein-DNA interactions.
Analyzing DamID data requires specialized bioinformatics tools for comprehensive insights.

Purpose of the Study:

To introduce Damsel, the first Bioconductor package for end-to-end DamID sequencing data analysis in R.
To provide a robust and user-friendly tool for researchers working with DamID data.

Main Methods:

Development of the Damsel R package, available via Bioconductor.
Implementation of functions for quantification, statistical testing of binding sites, and exploratory data analysis.
Integration of visualization tools for interpreting DamID sequencing results.

Main Results:

Damsel offers a comprehensive pipeline for DamID data analysis.
The package performs quantification and identifies significant protein-DNA binding sites.
Exploratory and visual analysis features aid in data interpretation.

Conclusions:

Damsel provides a complete and consistent analysis workflow for DamID sequencing data.
This package facilitates the study of genome-wide protein-DNA interactions.
Results generated by Damsel are comparable to existing analysis approaches.