Evidence map›Paper›PMID 33076821›Full record

ArticleBMC bioinformatics2020

Search and comparison of (epi)genomic feature patterns in multiple genome browser tracks.

Arnaud Ceol, Piero Montanari, Ilaria Bartolini, Stefano Ceri, Paolo Ciaccia, Marco Patella, Marco Masseroli

Abstract readComparative Study
In one paragraph

Article in BMC bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Arnaud CeolCenter for Genomic Science of IIT@SEMM, Fondazione Istituto Italiano di Tecnologia (IIT), 20139, Milan, Italy.
Piero MontanariDISI, Università di Bologna, 40136, Bologna, Italy.
Ilaria BartoliniDISI, Università di Bologna, 40136, Bologna, Italy.
Stefano CeriDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133, Milan, Italy.
Paolo CiacciaDISI, Università di Bologna, 40136, Bologna, Italy.
Marco PatellaDISI, Università di Bologna, 40136, Bologna, Italy.
Marco MasseroliDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133, Milan, Italy. masseroli@elet.polimi.it.ORCID http://orcid.org/0000-0003-2574-1174

Funding

H2020 European Research Council 693174
6 · The paper itself

Abstract

backgroundGenome browsers are widely used for locating interesting genomic regions, but their interactive use is obviously limited to inspecting short genomic portions. An ideal interaction is to provide patterns of regions on the browser, and then extract other genomic regions over the whole genome where such patterns occur, ranked by similarity.

resultsWe developed SimSearch, an optimized pattern-search method and an open source plugin for the Integrated Genome Browser (IGB), to find genomic region sets that are similar to a given region pattern. It provides efficient visual genome-wide analytics computation in large datasets; the plugin supports intuitive user interactions for selecting an interesting pattern on IGB tracks and visualizing the computed occurrences of similar patterns along the entire genome. SimSearch also includes functions for the annotation and enrichment of results, and is enhanced with a Quickload repository including numerous epigenomic feature datasets from ENCODE and Roadmap Epigenomics. The paper also includes some use cases to show multiple genome-wide analyses of biological interest, which can be easily performed by taking advantage of the presented approach.

conclusionsThe novel SimSearch method provides innovative support for effective genome-wide pattern search and visualization; its relevance and practical usefulness is demonstrated through a number of significant use cases of biological interest. The SimSearch IGB plugin, documentation, and code are freely available at https://deib-geco.github.io/simsearch-app/ and https://github.com/DEIB-GECO/simsearch-app/ .

Indexed as

AlgorithmsEpigenomicsGenomePattern Recognition, AutomatedWeb BrowserHumansMolecular Sequence AnnotationProtein BindingRegulatory Sequences, Nucleic AcidTranscription FactorsTranscription FactorsComputational genomicsGenome browserGenome-wide pattern-searchVisual analytics

Identifiers

PMID33076821
PMCPMC7574191

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.