Evidence map›Paper›PMID 22652049›Full record

ReviewTrends in biotechnology2012

Behavioral barcoding in the cloud: embracing data-intensive digital phenotyping in neuropharmacology.

David Kokel, Andrew J Rennekamp, Asmi H Shah, Urban Liebel, Randall T Peterson

Abstract readReview
In one paragraph

Review in Trends in biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Knockout ofInternational journal of molecular sciences · 2022
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. 15 years of zebrafish chemical screening.Current opinion in chemical biology · 2015
    Article
  16. FutureTox II: in vitro data and in silico models for predictive toxicology.Toxicological sciences : an official journal of the Society of Toxicology · 2015
    Article
  17. Article
  18. Article
  19. Article
  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

5 authors.

David KokelCardiovascular Research Center and Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, 149 13th Street, Charlestown, MA 02129, USA.
Andrew J Rennekamp
Asmi H Shah
Urban Liebel
Randall T Peterson

Funding

MULTIDISCIPLINARY RESEARCH TRAINING IN CARDIOLOGYT32HL007208 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Patrick Thomas Ellinor, David E Sosnovik · 1985 to 2026
$16.1M
In Vivo Discovery of Psychotropic Drugs by High-Throughput Behavioral PhenotypingR01MH086867 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI PETERSON, RANDALL T · 2009 to 2012
$1.4M
High-throughput behavior-based dopaminergic drug discovery in the zebrafishK01MH091449 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KOKEL, DAVID · 2010 to 2014
$931k
High-throughput behavioral screening for in vivo discovery of neuroactive drugsR21MH085205 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI PETERSON, RANDALL T · 2009 to 2009
$265k
NHLBI NIH HHS T32 HL007208NHLBI NIH HHS T32HL07208NIMH NIH HHS K01 MH091449NIMH NIH HHS K01MH091449NIMH NIH HHS MH085205NIMH NIH HHS MH086867NIMH NIH HHS R01 MH086867NIMH NIH HHS R21 MH085205
6 · The paper itself

Abstract

For decades, studying the behavioral effects of individual drugs and genetic mutations has been at the heart of efforts to understand and treat nervous system disorders. High-throughput technologies adapted from other disciplines (e.g., high-throughput chemical screening, genomics) are changing the scale of data acquisition in behavioral neuroscience. Massive behavioral datasets are beginning to emerge, particularly from zebrafish labs, where behavioral assays can be performed rapidly and reproducibly in 96-well, high-throughput format. Mining these datasets and making comparisons across different assays are major challenges for the field. Here, we review behavioral barcoding, a process by which complex behavioral assays are reduced to a string of numeric features, facilitating analysis and comparison within and across datasets.

Indexed as

Computational BiologyDatabases, FactualData MiningAnimalsBehavior, AnimalDrug DiscoveryNeuropharmacologyZebrafish

Identifiers

PMID22652049
PMCPMC3401323

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.