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Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution
Published on: February 24, 2015
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Bam-readcount - rapid generation of basepair-resolution sequence metrics
Ajay Khanna1, David E Larson2,3, Sridhar Nonavinkere Srivatsan1
1Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO.
Arxiv
|August 3, 2021
Summary
Bam-readcount provides detailed nucleotide-level sequencing data. This utility aids in filtering genomic mutations and is applicable across diverse research fields like cancer genomics and infectious disease tracking.
Area of Science:
- Genomics
- Bioinformatics
Background:
- The bam-readcount utility generates low-level sequencing data metrics at specific nucleotide positions.
- Originally developed to assist in filtering genomic mutation calls, its outputs are valuable for downstream variant detection and caller ambiguity resolution.
Conclusions:
- Bam-readcount is a versatile bioinformatics tool for extracting granular sequencing data insights.
- Its applicability extends to various research domains, highlighting its significance in genomic analysis and beyond.
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