Evidence map›Paper›PMID 25462151›Full record

ArticleGenomics, proteomics & bioinformatics2014

Big biological data: challenges and opportunities.

Yixue Li, Luonan Chen

Abstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. trAIt: Species-by-Trait Data Retrieval using Large Language Models.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. On the way to plant data commons - a genotyping use case.Journal of integrative bioinformatics · 2022
    Article
  10. Article
  11. Consilience of methods for phylogenetic analysis of variance.Evolution; international journal of organic evolution · 2022
    Article
  12. Article
  13. Article
  14. Formaldehyde exposure and leukemia risk: a comprehensive review and network-based toxicogenomic approach.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2021
    Review
  15. Article
  16. Deep Learning in Mining Biological Data.Cognitive computation · 2021
    Review
  17. Review
  18. Article
  19. Article
  20. 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.

Yixue LiKey Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China. Electronic address: yxli@sibs.ac.cn.
Luonan ChenKey Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China. Electronic address: lnchen@sibs.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Gene Expression ProfilingHigh-Throughput Screening AssaysComputational BiologyData MiningHumansSoftware

Identifiers

PMID25462151
PMCPMC4411415

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.