Evidence map›Paper›PMID 21477781›Full record

ReviewJournal of genetics and genomics = Yi chuan xue bao2011

The impact of next-generation sequencing on genomics.

Jun Zhang, Rod Chiodini, Ahmed Badr, Genfa Zhang

Abstract readReview
In one paragraph

Review in Journal of genetics and genomics = Yi chuan xue bao, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 185 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
185citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. ConcurrentJournal of thoracic disease · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Draft genome ofMicrobiology resource announcements · 2024
    Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Article

125 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

4 authors.

Jun ZhangCOE for Neurosciences, Department of Anesthesiology, Texas Tech University Health Sciences Center El Paso, TX 79905, USA. jun.zhang2000@gmail.com
Rod Chiodini
Ahmed Badr
Genfa Zhang

Funding

Molecular and cellular etiology of cerebral cavernous malformationsR21NS061191 · NINDS · TEXAS TECH UNIVERSITY HEALTH SCIS CENTER · PI ZHANG, JUN · 2010 to 2011
$405k
NINDS NIH HHS R21 NS061191
6 · The paper itself

Abstract

This article reviews basic concepts, general applications, and the potential impact of next-generation sequencing (NGS) technologies on genomics, with particular reference to currently available and possible future platforms and bioinformatics. NGS technologies have demonstrated the capacity to sequence DNA at unprecedented speed, thereby enabling previously unimaginable scientific achievements and novel biological applications. But, the massive data produced by NGS also presents a significant challenge for data storage, analyses, and management solutions. Advanced bioinformatic tools are essential for the successful application of NGS technology. As evidenced throughout this review, NGS technologies will have a striking impact on genomic research and the entire biological field. With its ability to tackle the unsolved challenges unconquered by previous genomic technologies, NGS is likely to unravel the complexity of the human genome in terms of genetic variations, some of which may be confined to susceptible loci for some common human conditions. The impact of NGS technologies on genomics will be far reaching and likely change the field for years to come.

Indexed as

Computational BiologyGenetic VariationGenomicsHumansNanotechnologyPrecision MedicineSequence AlignmentSequence Analysis, DNASoftware

Identifiers

PMID21477781
PMCPMC3076108

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.