Instruct: Identify the main category of Biorxiv papers based on the titles and abstracts
Query: Removing unwanted variation between samples in Hi-C experiments Hi-C data is commonly normalized using single sample processing methods, with focus on comparisons between regions within a given contact map. Here, we aim to compare contact maps across different samples. We demonstrate that unwanted variation, of likely technical origin, is present in Hi-C data with replicates from different individuals, and that properties of this unwanted variation changes across the contact map. We present BNBC, a method for normalization and batch correction of Hi-C data and show that it substantially improves comparisons across samples, including in a QTL analysis as well as differential enrichment across cell types.
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The categories of this paper are: behavior
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The categories of this paper are: and
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The categories of this paper are: biology
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The categories of this paper are: immunology
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The categories of this paper are: zoology
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The categories of this paper are: physiology
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The categories of this paper are: genetics
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The categories of this paper are: toxicology
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The categories of this paper are: microbiology
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The categories of this paper are: synthetic
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The categories of this paper are: ecology
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The categories of this paper are: biophysics
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The categories of this paper are: scientific
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The categories of this paper are: pathology
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The categories of this paper are: biochemistry
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The categories of this paper are: bioinformatics