Evidence map›Paper›PMID 29782620›Full record

ArticleEMBnet.journal2018

Genomic big data hitting the storage bottleneck.

Louis Papageorgiou, Picasi Eleni, Sofia Raftopoulou, Meropi Mantaiou, Vasileios Megalooikonomou, Dimitrios Vlachakis

Abstract read
In one paragraph

Article in EMBnet.journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
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  4. Compression algorithm for colored de Bruijn graphs.Algorithms for molecular biology : AMB · 2024
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  6. Compression Algorithm for Colored de Bruijn Graphs.Algorithms in bioinformatics : ... International Workshop, WABI ..., proceedings. WABI (Workshop) · 2023
    Article
  7. Observational
  8. Article
  9. Article
  10. Consilience of methods for phylogenetic analysis of variance.Evolution; international journal of organic evolution · 2022
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. PEGR: a management platform for ChIP-based next generation sequencing pipelines.PEARC20 : Practice and Experience in Advanced Research Computing 2020 : Catch the wave : July 27-31, 2020, Portland, Or Virtual Conference. Practice and Experience in Advanced Research Computing (Conference) (2020 : Online) · 2020
    Article
  18. Article
  19. Article
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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

6 authors.

Louis PapageorgiouLaboratory of Genetics, Department of Biotechnology, School of Food, Biotechnology and Development, Agricultural University of Athens, Athens, Greece.
Picasi EleniLaboratory of Genetics, Department of Biotechnology, School of Food, Biotechnology and Development, Agricultural University of Athens, Athens, Greece.
Sofia RaftopoulouLaboratory of Genetics, Department of Biotechnology, School of Food, Biotechnology and Development, Agricultural University of Athens, Athens, Greece.
Meropi MantaiouSotiria Chest Diseases Hospital, Athens, Greece.
Vasileios MegalooikonomouComputer Engineering and Informatics Department, School of Engineering, University of Patras, Patras, Greece.
Dimitrios VlachakisLaboratory of Genetics, Department of Biotechnology, School of Food, Biotechnology and Development, Agricultural University of Athens, Athens, Greece.

Funding

Large Scale Data Analysis for Brain ImagesR01MH068066 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI MEGALOOIKONOMOU, VASILEIOS · 2004 to 2007
$1.3M
NIMH NIH HHS R01 MH068066
6 · The paper itself

Abstract

During the last decades, there is a vast data explosion in bioinformatics. Big data centres are trying to face this data crisis, reaching high storage capacity levels. Although several scientific giants examine how to handle the enormous pile of information in their cupboards, the problem remains unsolved. On a daily basis, there is a massive quantity of permanent loss of extensive information due to infrastructure and storage space problems. The motivation for sequencing has fallen behind. Sometimes, the time that is spent to solve storage space problems is longer than the one dedicated to collect and analyse data. To bring sequencing to the foreground, scientists have to slide over such obstacles and find alternative ways to approach the issue of data volume. Scientific community experiences the data crisis era, where, out of the box solutions may ease the typical research workflow, until technological development meets the needs of Bioinformatics.

Identifiers

PMID29782620
PMCPMC5958914

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.