Evidence map›Paper›PMID 29230204›Full record

ReviewFrontiers in microbiology2017

A Comprehensive Overview of Online Resources to Identify and Predict Bacterial Essential Genes.

Chong Peng, Yan Lin, Hao Luo, Feng Gao

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. A roadmap for the functional annotation of protein families: a community perspective.Database : the journal of biological databases and curation · 2022
    Article
  7. In silico Methods for Identification of Potential Therapeutic Targets.Interdisciplinary sciences, computational life sciences · 2022
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. CEG 2.0: an updated database of clusters of essential genes including eukaryotic organisms.Database : the journal of biological databases and curation · 2020
    Article
  14. Article
  15. A systematic strategy for the investigation of vaccines and drugs targeting bacteria.Computational and structural biotechnology journal · 2020
    Review
  16. Evaluation of genome similarities using a wavelet-domain approach.Revista da Sociedade Brasileira de Medicina Tropical · 2020
    Article
  17. Article
  18. Review
  19. Article
  20. Review
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.

Chong PengDepartment of Physics, School of Science, Tianjin University, Tianjin, China.
Yan LinDepartment of Physics, School of Science, Tianjin University, Tianjin, China.
Hao LuoDepartment of Physics, School of Science, Tianjin University, Tianjin, China.
Feng GaoDepartment of Physics, School of Science, Tianjin University, Tianjin, China.

Funding

Impact of Prenatal Alcohol Exposure on Receptor Targeting and FunctioningR03AA020101 · NIAAA · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI CALDWELL, KEVIN K. · 2010 to 2011
$148k
NIAAA NIH HHS R03 AA020101
6 · The paper itself

Abstract

Genes critical for the survival or reproduction of an organism in certain circumstances are classified as essential genes. Essential genes play a significant role in deciphering the survival mechanism of life. They may be greatly applied to pharmaceutics and synthetic biology. The continuous progress of experimental method for essential gene identification has accelerated the accumulation of gene essentiality data which facilitates the study of essential genes

Indexed as

essential genegene essentiality predictionminimal gene setsynthetic biologyTn-seq analysis

Identifiers

PMID29230204
PMCPMC5711816

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.