Evidence map›Paper›PMID 20647113›Full record

ArticleTrends in biotechnology2010

From complete genome sequence to 'complete' understanding?

Michael Y Galperin, Eugene V Koonin

Abstract read
In one paragraph

Article in Trends in biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing 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

89 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Conservation and Diversification of tRNA tInternational journal of molecular sciences · 2022
    Review
  7. Review
  8. Article
  9. Article
  10. Using Genome Scale Mutant Libraries to Identify Essential Genes.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Zmo0994, a novel LEA-like protein fromBiotechnology for biofuels · 2020
    Article
  18. Review
  19. Microbial genome analysis: the COG approach.Briefings in bioinformatics · 2019
    Review
  20. Analysis of UncharacterizedJournal of cardiovascular development and disease · 2019
    Article

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

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

2 authors.

Michael Y GalperinNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA. galperin@ncbi.nlm.nih.gov
Eugene V Koonin

Funding

Comparative Analysis Of Completely Sequenced GenomesZIALM000073 · NLM · NATIONAL LIBRARY OF MEDICINE · PI KOONIN, EUGENE V · 2009 to 2025
$43.1M
Intramural NIH HHS Z99 LM999999Intramural NIH HHS ZIA LM000073
6 · The paper itself

Abstract

The rapidly accumulating genome sequence data allow researchers to address fundamental biological questions that were not even asked just a few years ago. A major problem in genomics is the widening gap between the rapid progress in genome sequencing and the comparatively slow progress in the functional characterization of sequenced genomes. Here we discuss two key questions of genome biology: whether we need more genomes, and how deep is our understanding of biology based on genomic analysis. We argue that overly specific annotations of gene functions are often less useful than the more generic, but also more robust, functional assignments based on protein family classification. We also discuss problems in understanding the functions of the remaining 'conserved hypothetical' genes.

Indexed as

GenomeSequence Analysis, DNAAnimalsBacteriaGenome, HumanGenomicsHumans

Identifiers

PMID20647113
PMCPMC3065831

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.