Evidence map›Paper›PMID 22306811›Full record

ArticleNature methods2012

Systematic identification of gene annotation errors in the widely used yeast mutation collections.

Taly Ben-Shitrit, Nir Yosef, Keren Shemesh, Roded Sharan, Eytan Ruppin, Martin Kupiec

Abstract read
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In one paragraph

Article in Nature methods, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

61 citing papers in PubMed.

  1. Many paths to destruction: Family-specific turnover and stress responses for tRNA introns.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  13. Materials today. Bio · 2021
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  20. Genomic clustering within functionally related gene families inComputational and structural biotechnology journal · 2020
    Review

1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Taly Ben-ShitritDepartment of Molecular Microbiology and Biotechnology, Tel Aviv University, Ramat Aviv, Israel.
Nir Yosef
Keren Shemesh
Roded Sharan
Eytan Ruppin
Martin Kupiec

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The baker's yeast mutation collections are extensively used genetic resources that are the basis for many genome-wide screens and new technologies. Anecdotal evidence has previously pointed to the putative existence of a neighboring gene effect (NGE) in these collections. NGE occurs when the phenotype of a strain carrying a particular perturbed gene is due to the lack of proper function of its adjacent gene. Here we performed a large-scale study of NGEs, presenting a network-based algorithm for detecting NGEs and validating software predictions using complementation experiments. We applied our approach to four datasets uncovering a similar magnitude of NGE in each (7-15%). These results have important consequences for systems biology, as the mutation collections are extensively used in almost every aspect of the field, from genetic network analysis to functional gene annotation.

Indexed as

Computational BiologyDatabases, GeneticMolecular Sequence AnnotationMutationResearch DesignAlgorithmsGene Regulatory NetworksPhenotypeSaccharomyces cerevisiaeSoftware

Identifiers

PMID22306811

What OpenQuestion holds

Textmetadata
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Registered trials

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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.