Evidence map›Paper›PMID 37595778›Full record

ArticleBio Systems2023

SBcoyote: An extensible Python-based reaction editor and viewer.

Jin Xu, Gary Geng, Nhan D Nguyen, Carmen Perena-Cortes, Claire Samuels, Herbert M Sauro

Abstract read
PubMed Publisher
In one paragraph

Article in Bio Systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Jin XuDepartment of Bioengineering, University of Washington, Seattle 98195, WA, USA.
Gary GengDepartment of Computer Science, University of Washington, Seattle 98195, WA, USA.
Nhan D NguyenDepartment of Chemistry and Biochemistry, Augustana University, Sioux Falls, 57197, SD, USA.
Carmen Perena-CortesDepartment of Mathematics, University of Washington, Seattle 98195, WA, USA.
Claire SamuelsDepartment of Mathematics, University of Washington, Seattle 98195, WA, USA.
Herbert M SauroDepartment of Bioengineering, University of Washington, Seattle 98195, WA, USA. Electronic address: hsauro@uw.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SBcoyote is an open-source cross-platform biochemical reaction viewer and editor released under the liberal MIT license. It is written in Python and uses wxPython to implement the GUI and the drawing canvas. It supports the visualization and editing of compartments, species, and reactions. It includes many options to stylize each of these components. For instance, species can be in different colors and shapes. Other core features include the ability to create alias nodes, alignment of groups of nodes, network zooming, as well as an interactive bird-eye view of the network to allow easy navigation on large networks. A unique feature of the tool is the extensive Python plugin API, where third-party developers can include new functionality. To assist third-party plugin developers, we provide a variety of sample plugins, including, random network generation, a simple auto layout tool, export to Antimony, export SBML, import SBML, etc. Of particular interest are the export and import SBML plugins since these support the SBML level 3 layout and render standard, which is exchangeable with other software packages. Plugins are stored in a GitHub repository, and an included plugin manager can retrieve and install new plugins from the repository on demand. Plugins have version metadata associated with them to make it install plugin updates. Availability: https://github.com/sys-bio/SBcoyote.

Indexed as

Computational modelingSoftwareSystems biologyVisualization

Identifiers

What OpenQuestion holds

Textmetadata
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.