Evidence map›Paper›PMID 24037025›Full record

ArticleDatabase : the journal of biological databases and curation2013

Groups: knowledge spreadsheets for symbolic biocomputing.

Michael Travers, Suzanne M Paley, Jeff Shrager, Timothy A Holland, Peter D Karp

Open access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.0field-weighted citation impact, top 5% of its field
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

19 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  5. Proteomic profiling of zinc homeostasis mechanisms inbioRxiv : the preprint server for biology · 2025
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  16. Update notifications for the BioCyc collection of databases.Database : the journal of biological databases and curation · 2017
    Article
  17. Article
  18. Article
  19. 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 at 1 institution in 1 country.

Michael TraversBioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.
Suzanne M Paley
Jeff Shrager
Timothy A Holland
Peter D Karp
SRI International · US

Funding

The EcoCyc Model Organism Database for Escherichia coli [SRI Proposal ECU 14-631]U24GM077678 · NIGMS · SRI INTERNATIONAL · PI KARP, PETER D · 2006 to 2018
$12.3M
Robust Software Components for Model Organism DatabasesR01GM075742 · NIGMS · SRI INTERNATIONAL · PI KARP, PETER D · 2005 to 2019
$12.0M
NIGMS NIH HHS 01-GM075742NIGMS NIH HHS R01 GM075742NIGMS NIH HHS U24 GM077678NIGMS NIH HHS U24GM077678
6 · The paper itself

Abstract

Knowledge spreadsheets (KSs) are a visual tool for interactive data analysis and exploration. They differ from traditional spreadsheets in that rather than being oriented toward numeric data, they work with symbolic knowledge representation structures and provide operations that take into account the semantics of the application domain. 'Groups' is an implementation of KSs within the Pathway Tools system. Groups allows Pathway Tools users to define a group of objects (e.g. groups of genes or metabolites) from a Pathway/Genome Database. Groups can be transformed (e.g. by transforming a metabolite group to the group of pathways in which those metabolites are substrates); combined through set operations; analysed (e.g. through enrichment analysis); and visualized (e.g. by painting onto a metabolic map diagram). Users of the Pathway Tools-based BioCyc.org website have made extensive use of Groups, and an informal survey of Groups users suggests that Groups has achieved the goal of allowing biologists themselves to perform some data manipulations that previously would have required the assistance of a programmer. Database URL: BioCyc.org.

Indexed as

Databases as TopicKnowledge BasesSoftwareComputational BiologyDatabases, GeneticEscherichia coliGenes, BacterialHumansKnowledgeMetabolic Networks and PathwaysMetabolomeTranscription FactorsUser-Computer InterfaceTranscription Factors

Identifiers

PMID24037025
PMCPMC3773185
OpenAlexW2050624025

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.