Evidence map›Paper›PMID 16978854›Full record

ReviewCurrent opinion in biotechnology2006

New metrics for comparative genomics.

Michael Y Galperin, Eugene Kolker

Abstract readComparative StudyReview
In one paragraph

Review in Current opinion in biotechnology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Microbial genome analysis: the COG approach.Briefings in bioinformatics · 2019
    Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Optimizing high performance computing workflow for protein functional annotation.Concurrency and computation : practice & experience · 2014
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Minimum contradiction matrices in whole genome phylogenies.Evolutionary bioinformatics online · 2008
    Article
  17. Review
  18. 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

2 authors.

Michael Y GalperinNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
Eugene Kolker

Funding

COMPARATIVE ANALYSIS OF COMPLETELY SEQUENCED GENOMESZ01LM000073 · NLM · NATIONAL LIBRARY OF MEDICINE · PI KOONIN, EUGENE V · 1996 to 2008
$1.2M
Intramural NIH HHS Z99 LM999999
6 · The paper itself

Abstract

The availability of genome sequences from a variety of organisms presents an opportunity to apply this sequence information to solving the key problems of molecular biology. One of the principal roadblocks on this path is the lack of appropriate descriptors and metrics that could succinctly represent the new knowledge stemming from the genomic data. Several new metrics have recently been used in comparative genome analysis, yet challenges remain in finding an appropriate language for the emerging discipline of systems biology.

Indexed as

AnimalsComputational BiologyGenomeGenomicsHumansPhylogenyProteomicsSystems Biology

Identifiers

PMID16978854
PMCPMC1764326

What OpenQuestion holds

Textmetadata
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.