Chromatyping: Reconstructing Nucleosome Profiles from NOMe Sequencing Data-Reference-Cited by-同舟云学术

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Chromatyping: Reconstructing Nucleosome Profiles from NOMe Sequencing Data

Published:2020-03-01 Issue:3 Volume:27 Page:330-341
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Chakraborty Shounak¹²³⁴,Canzar Stefan⁴,Marschall Tobias²³,Schulz Marcel H.¹²³

Affiliation:

1. Cluster of Excellence for Multimodal Computing and Interaction, Saarland University, Saarland Informatics Campus E1.7, Saarbrücken, Germany.

2. Max Planck Institute for Informatics, Saarland Informatics Campus E1.4, Saarbrücken, Germany.

3. Center for Bioinformatics, Saarland University, Saarland Informatics Campus E2.1, Saarbrücken, Germany.

4. Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modelling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2019.0457

Reference17 articles.

1. Challenges and opportunities in estimating viral genetic diversity from next-generation sequencing data

2. Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position

3. Viral Quasispecies Evolution

4. Epigenomic Profiling of Human CD4+ T Cells Supports a Linear Differentiation Model and Highlights Molecular Regulators of Memory Development

5. DNA methylation and chromatin accessibility profiling of mouse and human fetal germ cells

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