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bioRxiv · 10.1101/009548

FourCSeq: Analysis of 4C sequencing data

Felix A. Klein·Tibor Pakozdi·Simon Anders·Yad Ghavi-Helm·Eileen E. M. Furlong·Wolfgang Huber
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Abstract

1 Abstract 1.1 MotivationCircularized Chromosome Conformation Capture (4C) is a powerful technique for studying the spatial interactions of a specific genomic region called the \"viewpoint\" with the rest of the genome, both in a single condition or comparing different experimental conditions or cell types. Observed ligation frequencies show a strong, regular dependence on genomic distance from the viewpoint, on top of which specific interaction peaks are superimposed. Here, we address the computational task to find these specific interactions and to detect changes between interaction profiles of different conditions.\n\n1.2 ResultsWe model the overall trend of decreasing interaction frequency with genomic distance by fitting a smooth monotonously decreasing function to suitably transformed count data. Based on the fit, z-scores are calculated from the residuals, with high z scores being interpreted as peaks providing evidence for specific interactions. To compare different conditions, we normalize fragment counts between samples, and call for differential contact frequencies using the statistical method DESeq2 adapted from RNA-Seq analysis.\n\n1.3 Availability and ImplementationA full end-to-end analysis pipeline is implemented in the R package FourCSeq available at www.bioconductor.org.\n\n1.4 Contactfelix.klein@embl.de, whuber@embl.de

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Felix A. Klein, Tibor Pakozdi, Simon Anders, Yad Ghavi-Helm, Eileen E. M. Furlong, Wolfgang Huber. 2014-09-23. FourCSeq: Analysis of 4C sequencing data. https://doi.org/10.1101/009548

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