The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
diffReps: Detecting Differential Chromatin Modification Sites from ChIP-seq Data with Biological Replicates
Open accessAbstract
ChIP-seq is increasingly being used for genome-wide profiling of histone modification marks. It is of particular importance to compare ChIP-seq data of two different conditions, such as disease vs. control, and identify regions that show differences in ChIP enrichment. We have developed a powerful and easy to use program, called diffReps, to detect those differential sites from ChIP-seq data, with or without biological replicates. In addition, we have developed two useful tools for ChIP-seq analysis in the diffReps package: one for the annotation of the differential sites and the other for finding chromatin modification "hotspots". diffReps is developed in PERL programming language and runs on all platforms as a command line script. We tested diffReps on two different datasets. One is the comparison of H3K4me3 between two human cell lines from the ENCODE project. The other is the comparison of H3K9me3 in a discrete region of mouse brain between cocaine- and saline-treated conditions. The results indicated that diffReps is a highly sensitive program in detecting differential sites from ChIP-seq data.
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Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp616 · Cited by 41,364
BEDTools: a flexible suite of utilities for comparing genomic features
Quinlan, A. R., & Hall, I. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq033 · Cited by 27,437
Model-based Analysis of ChIP-Seq (MACS)
Zhang, Y., Liu, T., Meyer, C. A., Eeckhoute, J., Johnson, D. S., Bernstein, B. E., Nusbaum, C., Myers, R. M., Brown, M., Li, W., et al. (2008) · Genome Biology · doi:10.1186/gb-2008-9-9-r137 · Cited by 18,386
Self-citationDifferential expression analysis for sequence count data
Anders, S., & Huber, W. (2010) · Genome Biology · doi:10.1186/gb-2010-11-10-r106 · Cited by 15,581
Trapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., Salzberg, S. L., Wold, B. J., & Pachter, L. (2010) · Nature Biotechnology · doi:10.1038/nbt.1621 · Cited by 15,556
Robinson, J. T., Thorvaldsdóttir, H., Winckler, W., Guttman, M., Lander, E. S., Getz, G., & Mesirov, J. P. (2011) · Nature Biotechnology · doi:10.1038/nbt.1754 · Cited by 15,390
Trapnell, C., Roberts, A., Goff, L., Pertea, G., Kim, D., Kelley, D. R., Pimentel, H., Salzberg, S. L., Rinn, J. L., & Pachter, L. (2012) · Nature Protocols · doi:10.1038/nprot.2012.016 · Cited by 12,116
High-Resolution Profiling of Histone Methylations in the Human Genome
Barski, A., Cuddapah, S., Cui, K., Roh, T.-Y., Schones, D. E., Wang, Z., Wei, G., Chepelev, I., & Zhao, K. (2007) · Cell · doi:10.1016/j.cell.2007.05.009 · Cited by 6,845
Genome-wide maps of chromatin state in pluripotent and lineage-committed cells
Mikkelsen, T. S., Ku, M., Jaffe, D. B., Issac, B., Lieberman, E., Giannoukos, G., Alvarez, P., Brockman, W., Kim, T.-K., Koche, R. P., et al. (2007) · Nature · doi:10.1038/nature06008 · Cited by 4,129
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Histone serotonylation is a permissive modification that enhances TFIID binding to H3K4me3
Farrelly, L. A., Thompson, R. E., Zhao, S., Lepack, A. E., Lyu, Y., Bhanu, N. V., Zhang, B., Loh, Y.-H. E., Ramakrishnan, A., Vadodaria, K. C., et al. (2019) · Nature · doi:10.1038/s41586-019-1024-7 · Cited by 474
Self-citationFrom reads to insight: a hitchhiker’s guide to ATAC-seq data analysis
Yan, F., Powell, D. R., Curtis, D. J., & Wong, N. C. (2020) · Genome Biology · doi:10.1186/s13059-020-1929-3 · Cited by 473
FTO mediates LINE1 m 6 A demethylation and chromatin regulation in mESCs and mouse development
Wei, J., Yu, X., Yang, L., Liu, X., Gao, B., Huang, B., Dou, X., Liu, J., Zou, Z., Cui, X.-L., et al. (2022) · Science · doi:10.1126/science.abe9582 · Cited by 294
Self-citationA Common Embryonic Origin of Stem Cells Drives Developmental and Adult Neurogenesis
Berg, D. A., Su, Y., Jimenez-Cyrus, D., Patel, A., Huang, N., Morizet, D., Lee, S., Shah, R., Ringeling, F. R., Jain, R., et al. (2019) · Cell · doi:10.1016/j.cell.2019.02.010 · Cited by 267
Metadata
- Authors
- Shen, L., Shao, N.-Y., Liu, X., Maze, I., Feng, J., & Nestler, E. J.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-06-10
- Volume
- 8
- Issue
- 6
- Pages
- e65598
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2085184586
- Cited by
- 403
- References
- 33
- FWCI
- 7.26
- Type
- journal article
- Language
- en
- Open access
- gold
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- Shen, L., Shao, N.-Y., Liu, X., Maze, I., Feng, J., & Nestler, E. J. (2013). diffReps: Detecting Differential Chromatin Modification Sites from ChIP-seq Data with Biological Replicates. PLoS ONE. https://doi.org/10.1371/journal.pone.0065598
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