Evidence map›Paper›PMID 21653523›Full record

ArticleBioinformatics (Oxford, England)2011

The Biological Connection Markup Language: a SBGN-compliant format for visualization, filtering and analysis of biological pathways.

Luca Beltrame, Enrica Calura, Razvan R Popovici, Lisa Rizzetto, Damariz Rivero Guedez, Michele Donato, Chiara Romualdi, Sorin Draghici, Duccio Cavalieri

Abstract readComparative Study
In one paragraph

Article in Bioinformatics (Oxford, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Comparison of human cell signaling pathway databases--evolution, drawbacks and challenges.Database : the journal of biological databases and curation · 2015
    Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. 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

9 authors.

Luca BeltrameDepartment of Pharmacology M.Aiazzi Mancini, University of Firenze, 50139 Firenze, Italy.
Enrica Calura
Razvan R Popovici
Lisa Rizzetto
Damariz Rivero Guedez
Michele Donato
Chiara Romualdi
Sorin Draghici
Duccio Cavalieri

Funding

Novel methods for the analysis of gene signaling pathways with applications in obR01DK089167 · NIDDK · WAYNE STATE UNIVERSITY · PI DRAGHICI, SORIN · 2010 to 2013
$1.2M
NIDDK NIH HHS R01 DK089167
6 · The paper itself

Abstract

motivationMany models and analysis of signaling pathways have been proposed. However, neither of them takes into account that a biological pathway is not a fixed system, but instead it depends on the organism, tissue and cell type as well as on physiological, pathological and experimental conditions.

resultsThe Biological Connection Markup Language (BCML) is a format to describe, annotate and visualize pathways. BCML is able to store multiple information, permitting a selective view of the pathway as it exists and/or behave in specific organisms, tissues and cells. Furthermore, BCML can be automatically converted into data formats suitable for analysis and into a fully SBGN-compliant graphical representation, making it an important tool that can be used by both computational biologists and 'wet lab' scientists. AVAILABILITY AND IMPLEMENTATION: The XML schema and the BCML software suite are freely available under the LGPL for download at http://bcml.dc-atlas.net. They are implemented in Java and supported on MS Windows, Linux and OS X.

Indexed as

Programming LanguagesSignal TransductionSoftwareComputational BiologyComputer Graphics

Identifiers

PMID21653523
PMCPMC3137220

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.