Evidence map›Paper›PMID 30001212›Full record

ArticleJournal of integrative bioinformatics2018

Heuristic Modeling and 3D Stereoscopic Visualization of a Chlamydomonas reinhardtii Cell.

Niklas Biere, Mehmood Ghaffar, Anja Doebbe, Daniel Jäger, Nils Rothe, Benjamin M Friedrich, Ralf Hofestädt, Falk Schreiber, Olaf Kruse, Björn Sommer

Open access · diamondAbstract read
In one paragraph

Article in Journal of integrative bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 34% of its field
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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. From Virtual Reality to Immersive Analytics in Bioinformatics.Journal of integrative bioinformatics · 2018
    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

10 authors at 3 institutions in 2 countries.

Niklas BiereExperimental Biophysics and Applied Nanoscience, Faculty of Physics, Bielefeld University, Bielefeld, Germany.
Mehmood GhaffarBio-/Medical Informatics Department, Faculty of Technology, Bielefeld University, Bielefeld, Germany.
Anja DoebbeAlgae Biotechnology and Bioenergy, Faculty of Biology, Bielefeld University, Bielefeld, Germany.
Daniel JägerAlgae Biotechnology and Bioenergy, Faculty of Biology, Bielefeld University, Bielefeld, Germany.
Nils RotheBio-/Medical Informatics Department, Faculty of Technology, Bielefeld University, Bielefeld, Germany.
Benjamin M FriedrichBiological Algorithms Group, Center for Advancing Electronics Dresden, Technical University Dresden, Dresden, Germany.
Ralf HofestädtBio-/Medical Informatics Department, Faculty of Technology, Bielefeld University, Bielefeld, Germany.
Falk SchreiberComputational Life Sciences, Department of Computer and Information Science, University of Konstanz, Konstanz, Germany.
Olaf KruseAlgae Biotechnology and Bioenergy, Faculty of Biology, Bielefeld University, Bielefeld, Germany.
Björn SommerComputational Life Sciences, Department of Computer and Information Science, University of Konstanz, Konstanz, Germany.
Bielefeld University · DEUniversity of Konstanz · DETU Dresden · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The structural modeling and representation of cells is a complex task as different microscopic, spectroscopic and other information resources have to be combined to achieve a three-dimensional representation with high accuracy. Moreover, to provide an appropriate spatial representation of the cell, a stereoscopic 3D (S3D) visualization is favorable. In this work, a structural cell model is created by combining information from various light microscopic and electron microscopic images as well as from publication-related data. At the mesoscopic level each cell component is presented with special structural and visual properties; at the molecular level a cell membrane composition and the underlying modeling method are discussed; and structural information is correlated with those at the functional level (represented by simplified energy-producing metabolic pathways). The organism used as an example is the unicellular Chlamydomonas reinhardtii, which might be important in future alternative energy production processes. Based on the 3D model, an educative S3D animation was created which was shown at conferences. The complete workflow was accomplished by using the open source 3D modeling software Blender. The discussed project including the animation is available from: http://Cm5.CELLmicrocosmos.org.

Indexed as

HeuristicsSoftwareCell MembraneCell Physiological PhenomenaChlamydomonas reinhardtiiImaging, Three-DimensionalCell Modeling and VisualizationComputational BiologyMicroscopic Imaging

Identifiers

PMID30001212
PMCPMC6167046
OpenAlexW2842599072

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.