Evidence map›Paper›PMID 19557452›Full record

ArticleTheory in biosciences = Theorie in den Biowissenschaften2009

Defining genes: a computational framework.

Peter F Stadler, Sonja J Prohaska, Christian V Forst, David C Krakauer

Abstract read
In one paragraph

Article in Theory in biosciences = Theorie in den Biowissenschaften, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. The thermodynamic efficiency of computations made in cells across the range of life.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2017
    Article
  2. Article
  3. Is life law-like?Genetics · 2011
    Article
  4. 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

4 authors.

Peter F StadlerBioinformatics Group, Department of Computer Science, Interdisciplinary Center for Bioinformatics, University of Leipzig, Härtelstrasse 16-18, 04107 Leipzig, Germany. studla@bioinf.uni-leipzig.de
Sonja J Prohaska
Christian V Forst
David C Krakauer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The precise elucidation of the gene concept has become the subject of intense discussion in light of results from several, large high-throughput surveys of transcriptomes and proteomes. In previous work, we proposed an approach for constructing gene concepts that combines genomic heritability with elements of function. Here, we introduce a definition of the gene within a computational framework of cellular interactions. The definition seeks to satisfy the practical requirements imposed by annotation, capture logical aspects of regulation, and encompass the evolutionary property of homology.

Indexed as

GenesGenomeComputational BiologyComputersDNAGene Expression ProfilingGenomicsHeredityModels, GeneticModels, StatisticalMutationPhylogenyProteomeSoftwareDNAProteome

Identifiers

PMID19557452
PMCPMC2766041

What OpenQuestion holds

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LicenceCC BY-NC
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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.