Evidence map›Paper›PMID 35144531›Full record

ArticleBMC bioinformatics2022

HiCmapTools: a tool to access HiC contact maps.

Jia-Ming Chang, Yi-Fu Weng, Wei-Ting Chang, Fu-An Lin, Giacomo Cavalli

Abstract read
In one paragraph

Article in BMC bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Mariner: explore the Hi-Cs.Bioinformatics (Oxford, England) · 2024
    Article
  2. Article
  3. 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

5 authors.

Jia-Ming ChangDepartment of Computer Science, National Chengchi University, 11605, Taipei City, Taiwan. chang.jiaming@gmail.com.ORCID http://orcid.org/0000-0002-6711-1739
Yi-Fu WengDepartment of Computer Science, National Chengchi University, 11605, Taipei City, Taiwan.
Wei-Ting ChangDepartment of Computer Science, National Chengchi University, 11605, Taipei City, Taiwan.
Fu-An LinDepartment of Computer Science, National Chengchi University, 11605, Taipei City, Taiwan.
Giacomo CavalliInstitute of Human Genetics, CNRS and University of Montpellier, Montpellier, France.ORCID https://orcid.org/0000-0003-3709-3469

Funding

European Research Council 788972European Research Council Advanced Grant 3DEpiH2020 European Research Council MuGH2020 European Research Council No 676556Ministry of Science and Technology, Taiwan 106-2813-C-004-036-EMinistry of Science and Technology, Taiwan 108-2628-E-004-001-MY3the Agence Nationale de la Recherche ANR-15-CE12-0006 EpiDevoMaththe Fondation pour la Recherche Médicale DEI20151234396the MSDAVENIR foundation GENE-IGH
6 · The paper itself

Abstract

backgroundWith the development of HiC technology, more and more HiC sequencing data have been produced. Although there are dozens of packages that can turn sequencing data into contact maps, there is no appropriate tool to query contact maps in order to extract biological information from HiC datasets.

resultsWe present HiCmapTools, a tool for biologists to efficiently calculate and analyze HiC maps. The complete program provides multi-query modes and analysis tools. We have validated its utility on two real biological questions: TAD loop and TAD intra-density.

conclusionsHiCmapTools supports seven access options so that biologists can quantify contact frequency of the interest sites. The tool has been implemented in C++ and R and is freely available at https://github.com/changlabtw/hicmaptools and documented at https://hicmaptools.readthedocs.io/ .

Indexed as

ChromatinGenomicsChromatin3D genomeHi-ChicpipeJuicerTopologically Associating Domains (TADs)

Identifiers

PMID35144531
PMCPMC8832839

What OpenQuestion holds

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LicenceCC BY
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.