PEPATAC: An optimized pipeline for ATAC-seq data analysis with serial alignments

Jason P. Smith; M. Ryan Corces; Jin Xu; Vincent P. Reuter; Howard Y. Chang; Nathan C. Sheffield

doi:10.1101/2020.10.21.347054

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PEPATAC: An optimized pipeline for ATAC-seq data analysis with serial alignments

View ORCID ProfileJason P. Smith, View ORCID ProfileM. Ryan Corces, View ORCID ProfileJin Xu, View ORCID ProfileVincent P. Reuter, View ORCID ProfileHoward Y. Chang, View ORCID ProfileNathan C. Sheffield

doi: https://doi.org/10.1101/2020.10.21.347054

Jason P. Smith

1Center for Public Health Genomics, University of Virginia

4Department of Biochemistry and Molecular Genetics, University of Virginia

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M. Ryan Corces

5Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA

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Jin Xu

5Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA

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Vincent P. Reuter

6Genomics and Computational Biology Graduate Group, University of Pennsylvania

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Howard Y. Chang

5Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA

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Nathan C. Sheffield

1Center for Public Health Genomics, University of Virginia

2Department of Public Health Sciences, University of Virginia

3Department of Biomedical Engineering, University of Virginia

4Department of Biochemistry and Molecular Genetics, University of Virginia

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For correspondence: nsheffield@virginia.edu

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PEPATAC: An optimized pipeline for ATAC-seq data analysis with serial alignments

Jason P. Smith, M. Ryan Corces, Jin Xu, Vincent P. Reuter, Howard Y. Chang, Nathan C. Sheffield

bioRxiv 2020.10.21.347054; doi: https://doi.org/10.1101/2020.10.21.347054

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PEPATAC: An optimized pipeline for ATAC-seq data analysis with serial alignments

Jason P. Smith, M. Ryan Corces, Jin Xu, Vincent P. Reuter, Howard Y. Chang, Nathan C. Sheffield

bioRxiv 2020.10.21.347054; doi: https://doi.org/10.1101/2020.10.21.347054

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