Evidence map›Paper›PMID 27974626›Full record

ArticlePDA journal of pharmaceutical science and technology

Biocompute Objects-A Step towards Evaluation and Validation of Biomedical Scientific Computations.

Vahan Simonyan, Jeremy Goecks, Raja Mazumder

Abstract read
In one paragraph

Article in PDA journal of pharmaceutical science and technology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. The Common Fund Data Ecosystem (CFDE).bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Bioinformatics tools developed to support BioCompute Objects.Database : the journal of biological databases and curation · 2021
    Article
  15. A Quantitative Evaluation of COVID-19 Epidemiological Models.medRxiv : the preprint server for health sciences · 2021
    Article
  16. Towards the Development of Digital Twins for the Bio-manufacturing Industry.Advances in biochemical engineering/biotechnology · 2021
    Article
  17. Data Management and Modeling in Plant Biology.Frontiers in plant science · 2021
    Review
  18. Article
  19. Comparative genomics in infectious disease.Current opinion in microbiology · 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

3 authors.

Vahan SimonyanCenter for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA; vahan.simonyan@fda.hhs.gov jgoecks@gwu.edu mazumder@gwu.edu.
Jeremy GoecksComputational Biology Institute, George Washington University, Ashburn, VA, USA; and vahan.simonyan@fda.hhs.gov jgoecks@gwu.edu mazumder@gwu.edu.
Raja MazumderDepartment of Biochemistry and Molecular Medicine, George Washington University, Washington, DC, USA vahan.simonyan@fda.hhs.gov jgoecks@gwu.edu mazumder@gwu.edu.

Funding

FDA HHS HHSF223201510129C
6 · The paper itself

Abstract

The unpredictability of actual physical, chemical, and biological experiments due to the multitude of environmental and procedural factors is well documented. What is systematically overlooked, however, is that computational biology algorithms are also affected by multiplicity of parameters and have no lesser volatility. The complexities of computation protocols and interpretation of outcomes is only a part of the challenge: There are also virtually no standardized and industry-accepted metadata schemas for reporting the computational objects that record the parameters used for computations together with the results of computations. Thus, it is often impossible to reproduce the results of a previously performed computation due to missing information on parameters, versions, arguments, conditions, and procedures of application launch. In this article we describe the concept of biocompute objects developed specifically to satisfy regulatory research needs for evaluation, validation, and verification of bioinformatics pipelines. We envision generalized versions of biocompute objects called

Indexed as

Computational BiologyDatabases, FactualHigh-Throughput Nucleotide SequencingReproducibility of ResultsSensitivity and SpecificityUnited StatesBiocompute objectComputation reproducibilityFDANGS standardizationRegulatory research

Identifiers

PMID27974626
PMCPMC5510742

What OpenQuestion holds

Textmetadata
LicenceTDM
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.