Evidence map›Paper›PMID 31712779›Full record

ArticleNature methods2020

FreeHi-C simulates high-fidelity Hi-C data for benchmarking and data augmentation.

Ye Zheng, Sündüz Keleş

Abstract read
In one paragraph

Article in Nature methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Hidden origami inmBio · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Sündüz Keleş.Nature methods · 2020
    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.

Ye ZhengDepartment of Statistics, University of Wisconsin-Madison, Madison, WI, USA.ORCID http://orcid.org/0000-0002-8806-2761
Sündüz KeleşDepartment of Statistics, University of Wisconsin-Madison, Madison, WI, USA. keles@stat.wisc.edu.ORCID http://orcid.org/0000-0001-9048-0922

Funding

Statistical Methods for the Analysis of ChlP-chip DataR01HG003747 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI KELES, SUNDUZ · 2007 to 2024
$4.8M
Statistical Methods For Annotating Repetitive Genomic Regions Through ENCODE-deriU01HG007019 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI BRESNICK, EMERY H, DEWEY, COLIN NOEL · 2012 to 2015
$1.5M
Statistical methods for profiling long-range interactions of repetitive genomic regions with Hi-C dataR21HG009744 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI KELES, SUNDUZ · 2018 to 2019
$395k
NHGRI NIH HHS R01 HG003747NHGRI NIH HHS R21 HG009744NHGRI NIH HHS U01 HG007019
6 · The paper itself

Abstract

The ability to simulate high-throughput chromatin conformation (Hi-C) data is foundational for benchmarking Hi-C data analysis methods. Here we present a nonparametric strategy named FreeHi-C to simulate Hi-C data from the interacting genome fragments. Data from FreeHi-C exhibit high fidelity to biological Hi-C data. FreeHi-C boosts the precision and power of differential chromatin interaction detection through data augmentation under preserved false discovery rate control.

Indexed as

BenchmarkingGenome, HumanChromatinChromosome MappingComputational BiologyHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNASoftwareChromatin

Identifiers

PMID31712779
PMCPMC8136837

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.