Evidence map›Paper›PMID 22941365›Full record

ArticleNature methods2012

Iterative correction of Hi-C data reveals hallmarks of chromosome organization.

Maxim Imakaev, Geoffrey Fudenberg, Rachel Patton McCord, Natalia Naumova, Anton Goloborodko, Bryan R Lajoie, Job Dekker, Leonid A Mirny

Abstract read
In one paragraph

Article in Nature methods, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 877 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
877citing papers in PubMed, 1 pooled it
–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

877 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  20. CAD-C: An engineered nuclease enables repair-freebioRxiv : the preprint server for biology · 2026
    Article

817 more citing papers are in PubMed but not listed here.

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

8 authors.

Maxim ImakaevDepartment of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Geoffrey Fudenberg
Rachel Patton McCord
Natalia Naumova
Anton Goloborodko
Bryan R Lajoie
Job Dekker
Leonid A Mirny

Funding

Structural Annotation of the Human GenomeR01HG003143 · NHGRI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Job Dekker · 2003 to 2026
$15.4M
TRANS-NETWORK PROJECTSU54CA143874 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI VAN OUDENAARDEN, ALEXANDER · 2009 to 2013
$15.1M
The Effects of Physical Disruption on Genome Organization and IntegrityF32GM100617 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MCCORD, RACHEL PATTON · 2012 to 2013
$101k
NCI NIH HHS U54 CA143874NCI NIH HHS U54CA143874NHGRI NIH HHS HG003143NHGRI NIH HHS R01 HG003143NIGMS NIH HHS F32 GM100617NIGMS NIH HHS F32GM100617
6 · The paper itself

Abstract

Extracting biologically meaningful information from chromosomal interactions obtained with genome-wide chromosome conformation capture (3C) analyses requires the elimination of systematic biases. We present a computational pipeline that integrates a strategy to map sequencing reads with a data-driven method for iterative correction of biases, yielding genome-wide maps of relative contact probabilities. We validate this ICE (iterative correction and eigenvector decomposition) technique on published data obtained by the high-throughput 3C method Hi-C, and we demonstrate that eigenvector decomposition of the obtained maps provides insights into local chromatin states, global patterns of chromosomal interactions, and the conserved organization of human and mouse chromosomes.

Indexed as

Nucleic Acid ConformationChromatinChromosome MappingChromosomes, HumanHigh-Throughput Screening AssaysHumansChromatin

Identifiers

PMID22941365
PMCPMC3816492

What OpenQuestion holds

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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.