ArticleMethods in molecular biology (Clifton, N.J.)2020
Evaluation of 3D Chromatin Interactions Using Hi-C.
Article in Methods in molecular biology (Clifton, N.J.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Review
- Gap-free genome assembly of anadromous Coilia nasus.Scientific data · 2023Article
- A chromosome-level genome assembly reveals genomic characteristics of the American mink (Neogale vison).Communications biology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
The invention of Hi-C has greatly facilitated 3D genome research through an unbiased probing of 3D chromatin interactions. It produces enormous amount of sequencing data that capture multiscale chromatin conformation structures. In the last decade, numerous computational methods have been developed to analyze Hi-C data and predict A/B compartments, topologically associating domains (TADs), and significant chromatin contacts. This chapter introduced the iHiC package that provides several utilities to facilitate Hi-C data analysis with public software and demonstrated its application to a Hi-C dataset generated for mouse embryonic stem (ES) cells.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.