Correction: GOTHiC, a probabilistic model to resolve complex biases and to identify real interactions in Hi-C dataReport as inadecuate




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> Correction: GOTHiC, a probabilistic model to resolve complex biases and to identify real interactions in Hi-C data The PLOS ONE Staff x Published: May 3, 2017 https:-doi.org-10.1371-journal.pone.0177280 Article Metrics Comments Related Content Reader Comments 0 Media Coverage Reset zoom 1 { %> All Figures Next Previous show more show less Show in Context

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TIFF PNG PPT The Funding information appears incorrectly in the published article. The correct Funding information is as follows: This work was supported by the EU, FP7 Epigenesys Network of Excellence, the Francis Crick Institute which receives its core funding from Cancer Research UK FC001110, the UK Medical Research Council FC001110, and the Wellcome Trust FC001110 NML, the Biotechnology and Biological Science Research Council, UK, the Medical Research Council, UK PF. BM holds an MRC eMedLab Medical Bioinformatics Career Development Fellowship, funded from award MR-L016311-1-. NML is a Winton Senior Group Leader in recognition of the Winton Charitable Foundation’s support of the establishment of The Francis Crick Institute.The publisher apologizes for the error.Reference1. Mifsud B, Martincorena I, Darbo E, Sugar R, Schoenfelder S, Fraser P, et al. 2017 GOTHiC, a probabilistic model to resolve complex biases and to identify real interactions in Hi-C data. PLoS ONE 124: e0174744. pmid:28379994 View Article PubMed-NCBI Google Scholar



Author: The PLOS ONE Staff

Source: http://plos.srce.hr/



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