Evidence map›Paper›PMID 28482806›Full record

ArticleBMC bioinformatics2017

ImmunoNodes - graphical development of complex immunoinformatics workflows.

Benjamin Schubert, Luis de la Garza, Christopher Mohr, Mathias Walzer, Oliver Kohlbacher

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Hitting the Target: How T Cells Detect and Eliminate Tumors.Journal of immunology (Baltimore, Md. : 1950) · 2018
    Review
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

5 authors.

Benjamin SchubertCenter for Bioinformatics, University of Tübingen, Tübingen, 72076, Germany. benjamin_schubert@hms.harvard.edu.ORCID http://orcid.org/0000-0003-3412-1102
Luis de la GarzaCenter for Bioinformatics, University of Tübingen, Tübingen, 72076, Germany.
Christopher MohrCenter for Bioinformatics, University of Tübingen, Tübingen, 72076, Germany.
Mathias WalzerCenter for Bioinformatics, University of Tübingen, Tübingen, 72076, Germany.
Oliver KohlbacherCenter for Bioinformatics, University of Tübingen, Tübingen, 72076, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmunoinformatics has become a crucial part in biomedical research. Yet many immunoinformatics tools have command line interfaces only and can be difficult to install. Web-based immunoinformatics tools, on the other hand, are difficult to integrate with other tools, which is typically required for the complex analysis and prediction pipelines required for advanced applications.

resultWe present ImmunoNodes, an immunoinformatics toolbox that is fully integrated into the visual workflow environment KNIME. By dragging and dropping tools and connecting them to indicate the data flow through the pipeline, it is possible to construct very complex workflows without the need for coding.

conclusionImmunoNodes allows users to build complex workflows with an easy to use and intuitive interface with a few clicks on any desktop computer.

Indexed as

Allergy and ImmunologyComputer GraphicsSoftwareWorkflowAmino Acid SequenceComputational BiologyEpitopesHLA AntigensHumansLigandsViral VaccinesZika VirusEpitopesHLA AntigensLigandsViral VaccinesImmunoinformaticsKNIMEWorkflow

Identifiers

PMID28482806
PMCPMC5422934

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.