Evidence map›Paper›PMID 31131402›Full record

ArticleNucleic acids research2019

BioUML: an integrated environment for systems biology and collaborative analysis of biomedical data.

Fedor Kolpakov, Ilya Akberdin, Timur Kashapov, Llya Kiselev, Semyon Kolmykov, Yury Kondrakhin, Elena Kutumova, Nikita Mandrik, Sergey Pintus, Anna Ryabova and 3 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Quantitative Modeling of IgG N-Glycosylation Profiles from Population Data.International journal of molecular sciences · 2025
    Article
  3. Modeling the Influence ofPharmaceutics · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. BioKC: a collaborative platform for curation and annotation of molecular interactions.Database : the journal of biological databases and curation · 2024
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Towards reproducible computational drug discovery.Journal of cheminformatics · 2020
    Review
  20. 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

13 authors.

Fedor KolpakovBIOSOFT.RU, LLC, Novosibirsk 630090, Russian Federation.
Ilya AkberdinBIOSOFT.RU, LLC, Novosibirsk 630090, Russian Federation.
Timur KashapovBIOSOFT.RU, LLC, Novosibirsk 630090, Russian Federation.
Llya KiselevBIOSOFT.RU, LLC, Novosibirsk 630090, Russian Federation.
Semyon KolmykovBIOSOFT.RU, LLC, Novosibirsk 630090, Russian Federation.
Yury KondrakhinBIOSOFT.RU, LLC, Novosibirsk 630090, Russian Federation.
Elena KutumovaBIOSOFT.RU, LLC, Novosibirsk 630090, Russian Federation.
Nikita MandrikBIOSOFT.RU, LLC, Novosibirsk 630090, Russian Federation.
Sergey PintusBIOSOFT.RU, LLC, Novosibirsk 630090, Russian Federation.
Anna RyabovaBIOSOFT.RU, LLC, Novosibirsk 630090, Russian Federation.
Ruslan SharipovBIOSOFT.RU, LLC, Novosibirsk 630090, Russian Federation.
Ivan YevshinBIOSOFT.RU, LLC, Novosibirsk 630090, Russian Federation.
Alexander KelBIOSOFT.RU, LLC, Novosibirsk 630090, Russian Federation.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BioUML (homepage: http://www.biouml.org, main public server: https://ict.biouml.org) is a web-based integrated environment (platform) for systems biology and the analysis of biomedical data generated by omics technologies. The BioUML vision is to provide a computational platform to build virtual cell, virtual physiological human and virtual patient. BioUML spans a comprehensive range of capabilities, including access to biological databases, powerful tools for systems biology (visual modelling, simulation, parameters fitting and analyses), a genome browser, scripting (R, JavaScript) and a workflow engine. Due to integration with the Galaxy platform and R/Bioconductor, BioUML provides powerful possibilities for the analyses of omics data. The plug-in-based architecture allows the user to add new functionalities using plug-ins. To facilitate a user focus on a particular task or database, we have developed several predefined perspectives that display only those web interface elements that are needed for a specific task. To support collaborative work on scientific projects, there is a central authentication and authorization system (https://bio-store.org). The diagram editor enables several remote users to simultaneously edit diagrams.

Indexed as

Databases, FactualInternetModels, BiologicalSoftwareSystems BiologyAnimalsHumans

Identifiers

PMID31131402
PMCPMC6602424

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.