We present a simple and versatile method for identifying enriched regions in ChIP-seq data that relies on estimating a gamma distribution fit to non- ...
Oct 20, 2023 · Here, we present a simple and versatile method for identifying enriched regions in ChIP-seq data that relies on estimating a gamma distribution ...
Signal tracks (i), called peaks (ii) and PBS values (iii) for several histone modifications at a sample locus in tissue from esophagus.
Histone ChIP-seq is one of the primary methods for charting the cellular epigenomic landscape, the components of which play a critical regulatory role in ...
... Analyzing histone ChIP-seq data with a bin-based probability of being signal. Hecht V, Dong K, Rajesh S, Shpilker P, Wekhande S, et al. (2023) Analyzing ...
This repository contains a pipelne for binning, estimating the background distribution, and calculating the probability of being signal for ChIP-seq and related ...
Analyzing histone ChIP-seq data with a bin-based probability of being signal · PLOS Computational Biology. Categories. Microbiology ...
All the major steps in the analysis of ChIP-seq data: sequencing depth selection, quality checking, mapping, data normalization, assessment of reproducibility, ...
People also ask
What information can you get from a ChIP-Seq experiment?
What is the difference between ChIP and ChIP-Seq?
What are the problems with ChIP-Seq?
How to perform ChIP-Seq?
We propose BinQuasi, a peak caller for replicated ChIP-seq data, that jointly models biological replicates using a generalized linear model framework.
Oct 20, 2023 · Analyzing histone ChIP-seq data with a bin-based probability of being signal · PLOS Computational Biology ...