Evidence map›Paper›PMID 34415534›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Analysis of Hi-C Data for Discovery of Structural Variations in Cancer.

Fan Song, Jie Xu, Jesse Dixon, Feng Yue

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.2field-weighted citation impact, top 4% of its field
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

20 citing papers in PubMed, 24 citations in OpenAlex.

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  13. Enhancer activation from transposable elements in extrachromosomal DNA.bioRxiv : the preprint server for biology · 2025
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  19. Massively parallelbioRxiv : the preprint server for biology · 2023
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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

4 authors at 2 institutions in 1 country.

Fan SongDepartment of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Jie XuDepartment of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Jesse DixonPeptide Biology Lab, Salk Institute for Biological Studies, La Jolla, CA, USA.
Feng YueDepartment of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA. Yue@northwestern.edu.
Northwestern University · USSalk Institute for Biological Studies · US

Funding

VISION: ValIdated Systematic IntegratiON of epigenomic dataR24DK106766 · NIDDK · PENNSYLVANIA STATE UNIVERSITY, THE · PI BLOBEL, GERD A, BODINE, DAVID M. · 2016 to 2020
$6.2M
Impact of genetic variants on gene regulation and 3D genome organization in human diseasesR35GM124820 · NIGMS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI Feng Yue · 2017 to 2026
$4.0M
Mechanisms of formation of 3D genome structuresDP5OD023071 · OD · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI DIXON, JESSE R · 2016 to 2020
$2.4M
Visualization, modeling and validation of chromatin interaction dataR01HG009906 · NHGRI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI YUE, FENG · 2018 to 2022
$2.0M
The WashU 4DN Network Data Coordination and Integration CenterU01CA200060 · NCI · WASHINGTON UNIVERSITY · PI WANG, TING · 2015 to 2019
$1.9M
NCI NIH HHS U01 CA200060NHGRI NIH HHS R01 HG009906NIDDK NIH HHS R24 DK106766NIGMS NIH HHS R35 GM124820NIH HHS DP5 OD023071
6 · The paper itself

Abstract

Structural variations (SVs) are large genomic rearrangements that can be challenging to identify with current short read sequencing technology due to various confounding factors such as existence of genomic repeats and complex SV structures. Hi-C breakfinder is the first computational tool that utilizes the technology of high-throughput chromatin conformation capture assay (Hi-C) to systematically identify SVs, without being interfered by regular confounding factors. SVs change the spatial distance of genomic regions and cause discontinuous signals in Hi-C, which are difficult to analyze by routine informatics practice. Here we provide step-by-step guidance for how to identify SVs using Hi-C data and how to reconstruct Hi-C maps in the presence of SVs.

Indexed as

GenomicsNeoplasmsChromatinChromosomesGenomeHigh-Throughput Nucleotide SequencingHumansSoftwareChromatin3D genome organizationCancer genomicsChromatin conformationHi-CStructural variation

Identifiers

PMID34415534
PMCPMC9890901
OpenAlexW3195278069

What OpenQuestion holds

Textmetadata
LicenceTDM
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.