Evidence map›Paper›PMID 28454514›Full record

ArticleBMC bioinformatics2017

QueryOR: a comprehensive web platform for genetic variant analysis and prioritization.

Loris Bertoldi, Claudio Forcato, Nicola Vitulo, Giovanni Birolo, Fabio De Pascale, Erika Feltrin, Riccardo Schiavon, Franca Anglani, Susanna Negrisolo, Alessandra Zanetti and 5 more

Abstract read
In one paragraph

Article in BMC bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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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

15 authors.

Loris BertoldiCRIBI Biotechnology Centre, University of Padua, Padua, Italy.
Claudio ForcatoCRIBI Biotechnology Centre, University of Padua, Padua, Italy.
Nicola VituloCRIBI Biotechnology Centre, University of Padua, Padua, Italy.
Giovanni BiroloCRIBI Biotechnology Centre, University of Padua, Padua, Italy.
Fabio De PascaleCRIBI Biotechnology Centre, University of Padua, Padua, Italy.
Erika FeltrinCRIBI Biotechnology Centre, University of Padua, Padua, Italy.
Riccardo SchiavonDepartment of Biology, University of Padua, Padua, Italy.
Franca AnglaniDepartment of Medicine, University of Padua, Padua, Italy.
Susanna NegrisoloDepartment of Women's and Children's Health, University of Padua, Padua, Italy.
Alessandra ZanettiDepartment of Women's and Children's Health, University of Padua, Padua, Italy.
Francesca D'AvanzoDepartment of Women's and Children's Health, University of Padua, Padua, Italy.
Rosella TomaninDepartment of Women's and Children's Health, University of Padua, Padua, Italy.
Georgine FaulknerDepartment of Biology, University of Padua, Padua, Italy.
Alessandro VezziDepartment of Biology, University of Padua, Padua, Italy.
Giorgio ValleCRIBI Biotechnology Centre, University of Padua, Padua, Italy. giorgio.valle@unipd.it.ORCID http://orcid.org/0000-0003-4377-5685

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhole genome and exome sequencing are contributing to the extraordinary progress in the study of human genetic variants. In this fast developing field, appropriate and easily accessible tools are required to facilitate data analysis.

resultsHere we describe QueryOR, a web platform suitable for searching among known candidate genes as well as for finding novel gene-disease associations. QueryOR combines several innovative features that make it comprehensive, flexible and easy to use. Instead of being designed on specific datasets, it works on a general XML schema specifying formats and criteria of each data source. Thanks to this flexibility, new criteria can be easily added for future expansion. Currently, up to 70 user-selectable criteria are available, including a wide range of gene and variant features. Moreover, rather than progressively discarding variants taking one criterion at a time, the prioritization is achieved by a global positive selection process that considers all transcript isoforms, thus producing reliable results. QueryOR is easy to use and its intuitive interface allows to handle different kinds of inheritance as well as features related to sharing variants in different patients. QueryOR is suitable for investigating single patients, families or cohorts.

conclusionsQueryOR is a comprehensive and flexible web platform eligible for an easy user-driven variant prioritization. It is freely available for academic institutions at http://queryor.cribi.unipd.it/ .

Indexed as

Databases, GeneticGenetic VariationSoftwareDiseaseExomeGenome, HumanHumansInternetData integrationExome sequencingVariant annotationVariant prioritization

Identifiers

PMID28454514
PMCPMC5410040

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.