Evidence map›Paper›PMID 24132931›Full record

ArticleBioinformatics (Oxford, England)2014

MFCompress: a compression tool for FASTA and multi-FASTA data.

Armando J Pinho, Diogo Pratas

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. JARVIS3: an efficient encoder for genomic data.Bioinformatics (Oxford, England) · 2024
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Disk compression of k-mer sets.Algorithms for molecular biology : AMB · 2021
    Article
  11. Representation ofJournal of computational biology : a journal of computational molecular cell biology · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. MZPAQ: a FASTQ data compression tool.Source code for biology and medicine · 2019
    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.

Armando J PinhoIEETA, Department of Electronics, Telecommunications and Informatics, University of Aveiro, 3810-193 Aveiro, Portugal.
Diogo Pratas

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationThe data deluge phenomenon is becoming a serious problem in most genomic centers. To alleviate it, general purpose tools, such as gzip, are used to compress the data. However, although pervasive and easy to use, these tools fall short when the intention is to reduce as much as possible the data, for example, for medium- and long-term storage. A number of algorithms have been proposed for the compression of genomics data, but unfortunately only a few of them have been made available as usable and reliable compression tools.

resultsIn this article, we describe one such tool, MFCompress, specially designed for the compression of FASTA and multi-FASTA files. In comparison to gzip and applied to multi-FASTA files, MFCompress can provide additional average compression gains of almost 50%, i.e. it potentially doubles the available storage, although at the cost of some more computation time. On highly redundant datasets, and in comparison with gzip, 8-fold size reductions have been obtained. AVAILABILITY: Both source code and binaries for several operating systems are freely available for non-commercial use at http://bioinformatics.ua.pt/software/mfcompress/.

Indexed as

Data CompressionSoftwareAlgorithmsGenomeGenomicsHumansMarkov Chains

Identifiers

PMID24132931
PMCPMC3866555

What OpenQuestion holds

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Registered trials

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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.