Evidence map›Paper›PMID 33334380›Full record

ArticleGenome biology2020

FAN-C: a feature-rich framework for the analysis and visualisation of chromosome conformation capture data.

Kai Kruse, Clemens B Hug, Juan M Vaquerizas

Abstract read
In one paragraph

Article in Genome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 167 papers.

0numbers the graph read from it
0cells of the map it votes in
167citing 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

167 citing papers in PubMed.

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  11. 3D Chromatin Architecture Provides Insights Into Leaf Trait Variation Among Pear Species.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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107 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

3 authors.

Kai KruseMax Planck Institute for Molecular Biomedicine, Roentgenstrasse 20, 48149, Muenster, Germany.
Clemens B HugMax Planck Institute for Molecular Biomedicine, Roentgenstrasse 20, 48149, Muenster, Germany.
Juan M VaquerizasMax Planck Institute for Molecular Biomedicine, Roentgenstrasse 20, 48149, Muenster, Germany. j.vaquerizas@lms.mrc.ac.uk.ORCID 0000-0002-6583-6541

Funding

Medical Research Council MC_UP_1605/10
6 · The paper itself

Abstract

Chromosome conformation capture data, particularly from high-throughput approaches such as Hi-C, are typically very complex to analyse. Existing analysis tools are often single-purpose, or limited in compatibility to a small number of data formats, frequently making Hi-C analyses tedious and time-consuming. Here, we present FAN-C, an easy-to-use command-line tool and powerful Python API with a broad feature set covering matrix generation, analysis, and visualisation for C-like data ( https://github.com/vaquerizaslab/fanc ). Due to its compatibility with the most prevalent Hi-C storage formats, FAN-C can be used in combination with a large number of existing analysis tools, thus greatly simplifying Hi-C matrix analysis.

Indexed as

Molecular ConformationChromatinChromosomesComputational BiologyEmbryonic Stem CellsGenomicsHigh-Throughput Nucleotide SequencingHumansChromatinChromatin loopsChromosomal compartmentsChromosome conformation captureHi-CHi-C analysisHi-C visualisationTopologically associating domains (TAD)

Identifiers

PMID33334380
PMCPMC7745377

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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.