Evidence map›Paper›PMID 40884646›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Leveraging Hi-C Data to Detect Chromosomal Reorganizations.

Lucía Álvarez-González, Aurora Ruiz-Herrera

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Lucía Álvarez-GonzálezGenome Integrity and Instability Group, Institut de Biotecnologia i Biomedicina (IBB), Universitat Autònoma de Barcelona (UAB), Cerdanyola del Vallès, Spain.
Aurora Ruiz-HerreraGenome Integrity and Instability Group, Institut de Biotecnologia i Biomedicina (IBB), Universitat Autònoma de Barcelona (UAB), Cerdanyola del Vallès, Spain. aurora.ruizherrera@uab.cat.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The three-dimensional (3D) organization of genomes refers to the spatial organization and folding of chromatin within the nucleus of cells. Over the years, the initial development and subsequent applications of chromosome capture techniques (3C) and their derivatives have permitted the study of the 3D genome organization at the deepest level of resolution. In this chapter, we provide a practical guide for the analysis and interpretation of Hi-C data, along with applications for detecting chromosomal reorganizations, such as Robertsonian fusions.

Indexed as

ChromosomesGenomicsChromatinHumansChromatinChromosomal reorganizationChromosome conformation captureGenome architectureRobertsonian fusionsThree-dimensional genome reconstruction

Identifiers

PMID40884646

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.