F1000ResearchBioinformaticsPeer-reviewed journal article
StateHub-StatePaintR: rapid and reproducible chromatin state evaluation for custom genome annotation.
Simon G. CoetzeeiD, Zachary H. Ramjan, Huy Q. DinhiD, Benjamin P. BermaniD, Dennis J. HazelettiD
Abstract
Genome annotation is critical to understand the function of disease variants, especially for clinical applications. To meet this need there are segmentations available from public consortia reflecting varying unsupervised approaches to functional annotation based on epigenetics data, but there remains a need for transparent, reproducible, and easily interpreted genomic maps of the functional biology of chromatin. We introduce a new methodological framework for defining a combinatorial epigenomic model of chromatin state on a web database, StateHub. In addition, we created an annotation tool for bioconductor, StatePaintR, which accesses these models and uses them to rapidly (on the order of seconds) produce chromatin state segmentations in standard genome browser formats. Annotations are fully documented with change history and versioning, authorship information, and original source files. StatePaintR calculates ranks for each state from next-gen sequencing peak statistics, facilitating variant prioritization, enrichment testing, and other types of quantitative analysis. StateHub hosts annotation tracks for major public consortia as a resource, and allows users to submit their own alternative models.
- Citations
- 9
- FWCI
- 0.71
- Field percentile
- top 32%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A framework for summarizing chromatin state annotations within and identifying differential annotations across groups of samples
Ha Vu, Zane Koch, … Jason Ernst·BioinformaticsPeer-reviewed·Nov 7, 2022
- Continuous chromatin state feature annotation of the human epigenome
Bowen Chen, Neda Shokraneh, Maxwell W. Libbrecht·bioRxiv·Nov 18, 2018
- Robust chromatin state annotation
Mehdi Foroozandeh Shahraki, Marjan Farahbod, Maxwell W. Libbrecht·Genome ResearchPeer-reviewed·Mar 21, 2024
- Spectacle: Faster and more accurate chromatin state annotation using spectral learning
Jimin Song, Kevin C. Chen·bioRxiv·Mar 9, 2014
- Multi-scale annotations of chromatin states in 127 human cell-types
Kai Yan, Stephanos Tsoucas, … Guo‐Cheng Yuan·bioRxiv·Dec 22, 2020
- Universal chromatin state annotation of the mouse genome
Ha Vu, Jason Ernst·Genome biologyPeer-reviewed·Jun 27, 2023