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Bioinformatics pipeline and Data files used or generated in the ADPr-Seq methodology paper.

Bioinformatics pipeline and Data files used or generated in the ADPr-Seq methodology paper.
Bioinformatics pipeline and Data files used or generated in the ADPr-Seq methodology paper.
ADPr-Seq is the first high-throughput, genome-wide methodology for mapping a newly characterized DNA modification known as ADP-ribosylation. We introduce a novel robust and unbiased experimental protocol, coupled with a sensitive and accurate bionformatics methodology for quantifying ADP-ribosylation and performing differential binding analysis. Our approach is adaptable to other labile DNA modifications that are incompatible with conventional highenergy DNA fragmentation techniques. The resulting methodology is excetionally reliable, reproducible, sensitivity and unbiased, making it also suitable for experimetns and conditions with low quantities of DNA is produced.
University of Southampton
Couto Alves, Alex
87b9179e-abde-4ca5-abfc-4b7c5ac8b03b
Couto Alves, Alex
87b9179e-abde-4ca5-abfc-4b7c5ac8b03b

Couto Alves, Alex (2025) Bioinformatics pipeline and Data files used or generated in the ADPr-Seq methodology paper. University of Southampton doi:10.6084/m9.figshare.29092511 [Dataset]

Record type: Dataset

Abstract

ADPr-Seq is the first high-throughput, genome-wide methodology for mapping a newly characterized DNA modification known as ADP-ribosylation. We introduce a novel robust and unbiased experimental protocol, coupled with a sensitive and accurate bionformatics methodology for quantifying ADP-ribosylation and performing differential binding analysis. Our approach is adaptable to other labile DNA modifications that are incompatible with conventional highenergy DNA fragmentation techniques. The resulting methodology is excetionally reliable, reproducible, sensitivity and unbiased, making it also suitable for experimetns and conditions with low quantities of DNA is produced.

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More information

Published date: 2025

Identifiers

Local EPrints ID: 509228
URI: http://eprints.soton.ac.uk/id/eprint/509228
PURE UUID: 21c9b107-ae3f-4327-bbeb-a1655f5397d0
ORCID for Alex Couto Alves: ORCID iD orcid.org/0000-0001-8519-7356

Catalogue record

Date deposited: 13 Feb 2026 17:47
Last modified: 14 Feb 2026 03:15

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Contributors

Creator: Alex Couto Alves ORCID iD

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