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damidseq_pipeline: an automated pipeline for processing DamID sequencing datasets
DamID is a powerful technique for identifying regions of the genome bound by a DNA-binding (or DNA-associated) protein. Currently, no method exists for automatically processing next-generation sequencing DamID (DamID-seq) data, and the use of DamID-seq datasets with normalization based on read-counts alone can lead to high background and the loss of bound signal. DamID-seq thus presents novel challenges in terms of normalization and background minimization. We describe here damidseq_pipeline, a software pipeline that performs automatic normalization and background reduction on multiple DamID-seq FASTQ datasets.
History
Publication title
BioinformaticsVolume
31Issue
20Pagination
3371-3373ISSN
1367-4803Department/School
Menzies Institute for Medical ResearchPublisher
Oxford Univ PressPlace of publication
Great Clarendon St, Oxford, England, Ox2 6DpRepository Status
- Restricted