Evidence map›Paper›PMID 30657871›Full record

ArticleBioinformatics (Oxford, England)2019

Ordino: a visual cancer analysis tool for ranking and exploring genes, cell lines and tissue samples.

Marc Streit, Samuel Gratzl, Holger Stitz, Andreas Wernitznig, Thomas Zichner, Christian Haslinger

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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

6 authors.

Marc StreitInstitute of Computer Graphics, Johannes Kepler University Linz, Linz A-4040, Austria.
Samuel GratzlInstitute of Computer Graphics, Johannes Kepler University Linz, Linz A-4040, Austria.
Holger StitzInstitute of Computer Graphics, Johannes Kepler University Linz, Linz A-4040, Austria.
Andreas WernitznigDepartment of Pharmacology and Translational Research, Boehringer Ingelheim RCV GmbH & Co KG, Vienna A-1121, Austria.
Thomas ZichnerDepartment of Pharmacology and Translational Research, Boehringer Ingelheim RCV GmbH & Co KG, Vienna A-1121, Austria.
Christian HaslingerDepartment of Pharmacology and Translational Research, Boehringer Ingelheim RCV GmbH & Co KG, Vienna A-1121, Austria.

Funding

Austrian Science Fund FWF P 27975
6 · The paper itself

Abstract

summaryOrdino is a web-based analysis tool for cancer genomics that allows users to flexibly rank, filter and explore genes, cell lines and tissue samples based on pre-loaded data, including The Cancer Genome Atlas, the Cancer Cell Line Encyclopedia and manually uploaded information. Interactive tabular data visualization that facilitates the user-driven prioritization process forms a core component of Ordino. Detail views of selected items complement the exploration. Findings can be stored, shared and reproduced via the integrated session management. AVAILABILITY AND IMPLEMENTATION: Ordino is publicly available at https://ordino.caleydoapp.org. The source code is released at https://github.com/Caleydo/ordino under the Mozilla Public License 2.0. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

GenomicsNeoplasmsCell Line, TumorGenomeHumansSoftware

Identifiers

PMID30657871
PMCPMC6736116

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.