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Introductory Analysis and Validation of CUT&RUN Sequencing Data
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DRAW+SneakPeek: analysis workflow and quality metric management for DNA-seq experiments
Chiao-Feng Lin1, Otto Valladares, D Micah Childress
1Department of Pathology and Laboratory Medicine and Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA, Department of Physics, University of Washington, Seattle, WA 98105, USA, Genomics and Computational Biology Graduate Group, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA and Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
We developed DRAW+SneakPeek, a new software for DNA sequencing analysis. This tool automates data processing and provides quality metrics for efficient DNA resequencing analysis.
Area of Science:
- Bioinformatics
- Genomics
- Computational Biology
Background:
- DNA sequencing generates large datasets requiring robust analysis pipelines.
- Assessing data quality is crucial for reliable genomic research.
Purpose of the Study:
- To introduce DRAW+SneakPeek, a novel software for DNA sequencing analysis.
- To automate DNA resequencing analysis workflows and facilitate quality control.
Main Methods:
- The DNA resequencing analysis workflow (DRAW) automates read processing, alignment, and variant calling.
- SneakPeek offers an interface for reviewing quality metrics from DRAW.
- The software is deployable on high-performance computing, including Amazon Elastic Compute Cloud.
Main Results:
- DRAW+SneakPeek streamlines the DNA sequencing analysis pipeline.
- SneakPeek enables effective assessment and diagnosis of sequencing data quality.
- The software is freely available under the MIT license.
Conclusions:
- DRAW+SneakPeek provides an automated and user-friendly solution for DNA sequencing analysis.
- The software enhances data quality assessment and problem diagnosis in sequencing procedures.
- Availability as Amazon Machine Images simplifies deployment on cloud platforms.
