The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Exploring Massive, Genome Scale Datasets with the GenometriCorr Package
Open accessAbstract
UNLABELLED: We have created a statistically grounded tool for determining the correlation of genomewide data with other datasets or known biological features, intended to guide biological exploration of high-dimensional datasets, rather than providing immediate answers. The software enables several biologically motivated approaches to these data and here we describe the rationale and implementation for each approach. Our models and statistics are implemented in an R package that efficiently calculates the spatial correlation between two sets of genomic intervals (data and/or annotated features), for use as a metric of functional interaction. The software handles any type of pointwise or interval data and instead of running analyses with predefined metrics, it computes the significance and direction of several types of spatial association; this is intended to suggest potentially relevant relationships between the datasets. AVAILABILITY AND IMPLEMENTATION: The package, GenometriCorr, can be freely downloaded at http://genometricorr.sourceforge.net/. Installation guidelines and examples are available from the sourceforge repository. The package is pending submission to Bioconductor.
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CpG-rich islands and the function of DNA methylation
Bird, A. P. (1986) · Nature · doi:10.1038/321209a0 · Cited by 3,777
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Bernstein, B. E., Stamatoyannopoulos, J. A., Costello, J. F., Ren, B., Milosavljevic, A., Meissner, A., Kellis, M., Marra, M. A., Beaudet, A. L., Ecker, J. R., et al. (2010) · Nature Biotechnology · doi:10.1038/nbt1010-1045 · Cited by 1,892
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Incorporation of a nucleoside analog maps genome repair sites in postmitotic human neurons
Reid, D. A., Reed, P. J., Schlachetzki, J. C. M., Nitulescu, I. I., Chou, G., Tsui, E. C., Jones, J. R., Chandran, S., Lu, A. T., McClain, C. A., et al. (2021) · Science · doi:10.1126/science.abb9032 · Cited by 121
Metadata
- Authors
- Favorov, A., Mularoni, L., Cope, L. M., Medvedeva, Y., Mironov, A. A., Makeev, V. J., & Wheelan, S. J.
- Venue
- PLoS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-05-31
- Volume
- 8
- Issue
- 5
- Pages
- e1002529
- ISSN
- 1553-734X (ISSN-L)
- 1553-7358
- OpenAlex
- W1966278477
- Cited by
- 183
- References
- 2
- FWCI
- 3.72
- Type
- journal article
- Language
- en
- Open access
- gold
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- Favorov, A., Mularoni, L., Cope, L. M., Medvedeva, Y., Mironov, A. A., Makeev, V. J., & Wheelan, S. J. (2012). Exploring Massive, Genome Scale Datasets with the GenometriCorr Package. PLoS Computational Biology. https://doi.org/10.1371/journal.pcbi.1002529
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