Evidence map›Paper›PMID 22139935›Full record

ArticleNucleic acids research2012

GReEn: a tool for efficient compression of genome resequencing data.

Armando J Pinho, Diogo Pratas, Sara P Garcia

Abstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

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

  1. Pooled it
  2. Article
  3. Generating 2D Barcode for DNA Barcode Sequences.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Tackling the Challenges of FASTQ Referential Compression.Bioinformatics and biology insights · 2019
    Article
  10. Article
  11. Article
  12. Article
  13. NRGC: a novel referential genome compression algorithm.Bioinformatics (Oxford, England) · 2016
    Article
  14. Article
  15. smallWig: parallel compression of RNA-seq WIG files.Bioinformatics (Oxford, England) · 2016
    Article
  16. ERGC: an efficient referential genome compression algorithm.Bioinformatics (Oxford, England) · 2015
    Article
  17. LFQC: a lossless compression algorithm for FASTQ files.Bioinformatics (Oxford, England) · 2015
    Article
  18. Article
  19. Article
  20. iDoComp: a compression scheme for assembled genomes.Bioinformatics (Oxford, England) · 2015
    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

3 authors.

Armando J PinhoSignal Processing Lab, IEETA/DETI, University of Aveiro, 3810-193 Aveiro, Portugal. ap@ua.pt
Diogo Pratas
Sara P Garcia

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research in the genomic sciences is confronted with the volume of sequencing and resequencing data increasing at a higher pace than that of data storage and communication resources, shifting a significant part of research budgets from the sequencing component of a project to the computational one. Hence, being able to efficiently store sequencing and resequencing data is a problem of paramount importance. In this article, we describe GReEn (Genome Resequencing Encoding), a tool for compressing genome resequencing data using a reference genome sequence. It overcomes some drawbacks of the recently proposed tool GRS, namely, the possibility of compressing sequences that cannot be handled by GRS, faster running times and compression gains of over 100-fold for some sequences. This tool is freely available for non-commercial use at ftp://ftp.ieeta.pt/~ap/codecs/GReEn1.tar.gz.

Indexed as

Data CompressionHigh-Throughput Nucleotide SequencingSequence Analysis, DNASoftwareGenome, HumanGenome, PlantGenomicsHumans

Identifiers

PMID22139935
PMCPMC3287168

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.