Evidence map›Paper›PMID 22570600›Full record

ArticlePLoS computational biology2012

Rise and demise of bioinformatics? Promise and progress.

Christos A Ouzounis

Abstract read
In one paragraph

Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. The bioinformatics wealth of nations.Bioinformatics (Oxford, England) · 2020
    Article
  7. Review
  8. Developing computational biology at meridian 23° E, and a little eastwards.Journal of biological research (Thessalonike, Greece) · 2018
    Article
  9. Article
  10. Article
  11. KnowEnG: a knowledge engine for genomics.Journal of the American Medical Informatics Association : JAMIA · 2015
    Article
  12. Article
  13. Article
  14. Who qualifies to be a bioinformatician?Frontiers in genetics · 2015
    Article
  15. Article
  16. Article
  17. 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

1 author.

Christos A OuzounisInstitute of Agrobiotechnology, Centre for Research & Technology Hellas-CERTH, Thessaloniki, Greece. ouzounis@certh.gr

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The field of bioinformatics and computational biology has gone through a number of transformations during the past 15 years, establishing itself as a key component of new biology. This spectacular growth has been challenged by a number of disruptive changes in science and technology. Despite the apparent fatigue of the linguistic use of the term itself, bioinformatics has grown perhaps to a point beyond recognition. We explore both historical aspects and future trends and argue that as the field expands, key questions remain unanswered and acquire new meaning while at the same time the range of applications is widening to cover an ever increasing number of biological disciplines. These trends appear to be pointing to a redefinition of certain objectives, milestones, and possibly the field itself.

Indexed as

ForecastingComputational Biology

Identifiers

PMID22570600
PMCPMC3343106

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.