ChIP-BIT: Bayesian inference of target genes using a novel joint probabilistic model of ChIP-seq profiles
Author:
Publisher
Oxford University Press (OUP)
Subject
Genetics
Link
http://academic.oup.com/nar/article-pdf/44/7/e65/17058648/gkv1491.pdf
Reference43 articles.
1. An integrated encyclopedia of DNA elements in the human genome
2. BroadPeak: a novel algorithm for identifying broad peaks in diffuse ChIP-seq datasets
3. Genomic views of distant-acting enhancers
4. Genome-wide map of regulatory interactions in the human genome
5. TIP: A probabilistic method for identifying transcription factor target genes from ChIP-seq binding profiles
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1. The critical role of γ-secretase and its inhibitors in cancer and cancer therapeutics;International Journal of Biological Sciences;2023
2. ChIP-GSM: Inferring active transcription factor modules to predict functional regulatory elements;PLOS Computational Biology;2021-07-22
3. MUNIn—multiple-sample-unifying long-range chromatin Interaction detector: a statistical framework for identifying long-range chromatin interactions from multiple samples;Human Genetics and Genomics Advances;2021-05
4. ChIP-BIT2: a software tool to detect weak binding events using a Bayesian integration approach;BMC Bioinformatics;2021-04-15
5. Identification of Enriched Regions in ChIP-seq Data via a Linear-time Multi-level Thresholding Algorithm;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2021
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