WebSep 17, 2024 · We also apply FitHiC 7, a more lenient method with higher sensitivity, on the in situ Hi-C datasets of GM12878 or K562 cell lines at 5 kb resolution. We then use these two reference sets of Hi-C ... http://noble.gs.washington.edu/proj/fit-hi-c/
FitHiC: vignettes/fithic.Rmd
WebDOI: 10.18129/B9.bioc.FitHiC Confidence estimation for intra-chromosomal contact maps. Bioconductor version: Release (3.16) Fit-Hi-C is a tool for assigning statistical confidence … WebFit-Hi-C is a tool for assigning statistical confidence estimates to intra-chromosomal contact maps produced by genome-wide genome architecture assays such as Hi-C. - GitHub - RuyuTan/FitHiC: Fit-Hi-C is a tool for … curl add header php
Details of FitHiChIP outputs — FitHiChIP 0.1 documentation
WebFeb 6, 2024 · Estimates both tail area-based false discovery rates (Fdr) as well as local false discovery rates (fdr) for a variety of null models (p-values, z-scores, correlation coefficients, t-scores). The proportion of null values and the parameters of the null distribution are adaptively estimated from the data. In addition, the package contains functions for non … Fit-Hi-C (or FitHiC) was initially developed by Ferhat Ay, Timothy Bailey, and William Noble January 19th, 2014. It is currently maintained and updated by Ferhat Ay ([email protected]) and Arya Kaul ([email protected]) at the Ay Labin the La Jolla Institute for Allergy and Immunology. The current version is named as … See more Fit-Hi-C may be installed through one of three ways. 1. Bioconda 2. Github 3. Pip Out of all of the following, we recommend installing through bioconda to automatically install all dependencies. See more A good part of any software installation is being able to run tests on the correct installation of it. See more Congratulations! If you have gotten to this point, then you have a working, fully installed version of Fit-Hi-C running on your computer. Good on you! But that was the easy part, now … See more WebFerhat Ay, Timothy L. Bailey, William S. Noble. 2014. "Statistical confidence estimation for Hi-C data reveals regulatory chromatin contacts." Genome Research. 24 (6):999-1011, 2014. ( Supplementary information ) Fit-Hi-C is a tool for assigning statistical confidence estimates to intra-chromosomal contact maps produced by genome-wide genome ... curl 7 failed to connect to 接続を拒否されました