ArticleNAR genomics and bioinformatics2020
HIPPIE2: a method for fine-scale identification of physically interacting chromatin regions.
Article in NAR genomics and bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Read Mapping for Hi-C Analysis.Methods in molecular biology (Clifton, N.J.) · 2025Article
- CHARMER: detecting and harmonizing high-confidence chromatin interactions across tissues and Hi-C protocols.bioRxiv : the preprint server for biology · 2024Article
- Large-scale map of RNA-binding protein interactomes across the mRNA life cycle.Molecular cell · 2024Article
- Large-scale map of RNA binding protein interactomes across the mRNA life-cycle.bioRxiv : the preprint server for biology · 2023Article
- Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Most regulatory chromatin interactions are mediated by various transcription factors (TFs) and involve physically interacting elements such as enhancers, insulators or promoters. To map these elements and interactions at a fine scale, we developed HIPPIE2 that analyzes raw reads from high-throughput chromosome conformation (Hi-C) experiments to identify precise loci of DNA physically interacting regions (PIRs). Unlike standard genome binning approaches (e.g. 10-kb to 1-Mb bins), HIPPIE2 dynamically infers the physical locations of PIRs using the distribution of restriction sites to increase analysis precision and resolution. We applied HIPPIE2 to
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Registered trials
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