Evidence map›Paper›PMID 22536897›Full record

ArticleBMC bioinformatics2012

Comparative analysis and visualization of multiple collinear genomes.

Jeremy R Wang, Fernando Pardo-Manuel de Villena, Leonard McMillan

Abstract readComparative Study
In one paragraph

Article in BMC bioinformatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
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  11. Vitamin D3 receptor polymorphisms regulate T cells and T cell-dependent inflammatory diseases.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  12. Article
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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.

Jeremy R WangDepartment of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. jrwang@cs.unc.edu
Fernando Pardo-Manuel de Villena
Leonard McMillan

Funding

The Burden of Chikungunya and Dengue Infection in KenyaU54AI081680 · NIAID · OREGON HEALTH & SCIENCE UNIVERSITY · PI GALE, MICHAEL · 2009 to 2013
$40.4M
UNC and PERLEGEN, IncP50GM076468 · NIGMS · JACKSON LABORATORY · PI PETKOV, PETKO M · 2006 to 2015
$31.0M
An Interdisciplinary program for systems genomics of complex behaviorsP50HG006582 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PARDO-MANUEL DE VILLENA, FERNANDO · 2011 to 2013
$2.6M
NHGRI NIH HHS P50 HG 006582NIAID NIH HHS U54 AI 081680NIGMS NIH HHS P50 GM 076468NIGMS NIH HHS P50 GM076468
6 · The paper itself

Abstract

backgroundGenome browsers are a common tool used by biologists to visualize genomic features including genes, polymorphisms, and many others. However, existing genome browsers and visualization tools are not well-suited to perform meaningful comparative analysis among a large number of genomes. With the increasing quantity and availability of genomic data, there is an increased burden to provide useful visualization and analysis tools for comparison of multiple collinear genomes such as the large panels of model organisms which are the basis for much of the current genetic research.

resultsWe have developed a novel web-based tool for visualizing and analyzing multiple collinear genomes. Our tool illustrates genome-sequence similarity through a mosaic of intervals representing local phylogeny, subspecific origin, and haplotype identity. Comparative analysis is facilitated through reordering and clustering of tracks, which can vary throughout the genome. In addition, we provide local phylogenetic trees as an alternate visualization to assess local variations.

conclusionsUnlike previous genome browsers and viewers, ours allows for simultaneous and comparative analysis. Our browser provides intuitive selection and interactive navigation about features of interest. Dynamic visualizations adjust to scale and data content making analysis at variable resolutions and of multiple data sets more informative. We demonstrate our genome browser for an extensive set of genomic data sets composed of almost 200 distinct mouse laboratory strains.

Indexed as

GenomeInternetSoftwareAnimalsCluster AnalysisMiceMice, Inbred StrainsPhylogenyPolymorphism, Single Nucleotide

Identifiers

PMID22536897
PMCPMC3311102

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.