Evidence map›Paper›PMID 36333787›Full record

ArticleBMC bioinformatics2022

TADMaster: a comprehensive web-based tool for the analysis of topologically associated domains.

Sean Higgins, Victor Akpokiro, Allen Westcott, Oluwatosin Oluwadare

Open access · goldAbstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Sean HigginsDepartment of Computer Science, University of Colorado, Colorado Springs, CO, USA.
Victor AkpokiroDepartment of Computer Science, University of Colorado, Colorado Springs, CO, USA.
Allen WestcottDepartment of Computer Science, University of Colorado, Colorado Springs, CO, USA.
Oluwatosin OluwadareDepartment of Computer Science, University of Colorado, Colorado Springs, CO, USA. ooluwada@uccs.edu.ORCID http://orcid.org/0000-0002-5264-2342
University of Colorado Colorado Springs · US

Funding

University of Colorado Colorado Springs Committee on ResearchUniversity of Colorado Colorado Springs Creative Works (CRCW)University of Colorado Colorado Springs Start-Up Fund
6 · The paper itself

Abstract

backgroundChromosome conformation capture and its derivatives have provided substantial genetic data for understanding how chromatin self-organizes. These techniques have identified regions of high intrasequence interactions called topologically associated domains (TADs). TADs are structural and functional units that shape chromosomes and influence genomic expression. Many of these domains differ across cell development and can be impacted by diseases. Thus, analysis of the identified domains can provide insight into genome regulation. Hence, there are many approaches to identifying such domains across many cell lines. Despite the availability of multiple tools for TAD detection, TAD callers' speed, flexibility, result inconsistency, and reproducibility remain challenges in this research area.

resultsIn this work, we developed a computational webserver called TADMaster that provides an analysis suite to directly evaluate the concordance level and robustness of two or more TAD data on any given genome region. The suite provides multiple visual and quantitative metrics to compare the identified domains' number, size, and various comparisons of shared domains, domain boundaries, and domain overlap.

conclusionsTADMaster is an efficient and easy-to-use web application that provides a set of consensus and unique TADs to inform the choice of TADs. It can be accessed at http://tadmaster.io and is also available as a containerized application that can be deployed and run locally on any platform or operating system.

Indexed as

ChromatinChromosomesGenomeInternetReproducibility of ResultsChromatinChromosome conformation captureHi-CTADsTopologically associated domains

Identifiers

PMID36333787
PMCPMC9636664
OpenAlexW4308303088

What OpenQuestion holds

Textmetadata
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.