Semantic Scholar Open Access 2012 1358 sitasi

Iterative Correction of Hi-C Data Reveals Hallmarks of Chromosome Organization

Maxim Imakaev G. Fudenberg R. McCord N. Naumova A. Goloborodko +3 lainnya

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Abstrak

Extracting biologically meaningful information from chromosomal interactions obtained with genome-wide chromosome conformation capture (3C) analyses requires the elimination of systematic biases. We present a computational pipeline that integrates a strategy to map sequencing reads with a data-driven method for iterative correction of biases, yielding genome-wide maps of relative contact probabilities. We validate this ICE (iterative correction and eigenvector decomposition) technique on published data obtained by the high-throughput 3C method Hi-C, and we demonstrate that eigenvector decomposition of the obtained maps provides insights into local chromatin states, global patterns of chromosomal interactions, and the conserved organization of human and mouse chromosomes.

Topik & Kata Kunci

Medicine Biology

Penulis (8)

Maxim Imakaev

G. Fudenberg

R. McCord

N. Naumova

A. Goloborodko

B. Lajoie

J. Dekker

L. Mirny

Format Sitasi

APA MLA BibTeX

Imakaev, M., Fudenberg, G., McCord, R., Naumova, N., Goloborodko, A., Lajoie, B. et al. (2012). Iterative Correction of Hi-C Data Reveals Hallmarks of Chromosome Organization. https://doi.org/10.1038/nmeth.2148

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Lihat di Sumber doi.org/10.1038/nmeth.2148

Informasi Jurnal

Tahun Terbit: 2012
Bahasa: en
Total Sitasi: 1358×
Sumber Database: Semantic Scholar
DOI: 10.1038/nmeth.2148
Akses: Open Access ✓