Evidence map›Paper›PMID 30799504›Full record

ArticleBioinformatics (Oxford, England)2019

Nucleotide Archival Format (NAF) enables efficient lossless reference-free compression of DNA sequences.

Kirill Kryukov, Mahoko Takahashi Ueda, So Nakagawa, Tadashi Imanishi

Open access · hybridAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
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

23 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. FFC: a scalable FASTA compressor.Bioinformatics (Oxford, England) · 2026
    Article
  3. Article
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  6. Article
  7. Article
  8. JARVIS3: an efficient encoder for genomic data.Bioinformatics (Oxford, England) · 2024
    Article
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  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Disk compression of k-mer sets.Algorithms for molecular biology : AMB · 2021
    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

4 authors at 1 institution in 1 country.

Kirill KryukovDepartment of Molecular Life Science, Tokai University School of Medicine, Isehara, Japan.
Mahoko Takahashi UedaMicro/Nano Technology Center, Tokai University, Hiratsuka, Japan.
So NakagawaDepartment of Molecular Life Science, Tokai University School of Medicine, Isehara, Japan.
Tadashi ImanishiDepartment of Molecular Life Science, Tokai University School of Medicine, Isehara, Japan.
Tokai University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

summaryDNA sequence databases use compression such as gzip to reduce the required storage space and network transmission time. We describe Nucleotide Archival Format (NAF)-a new file format for lossless reference-free compression of FASTA and FASTQ-formatted nucleotide sequences. Nucleotide Archival Format compression ratio is comparable to the best DNA compressors, while providing dramatically faster decompression. We compared our format with DNA compressors: DELIMINATE and MFCompress, and with general purpose compressors: gzip, bzip2, xz, brotli and zstd. AVAILABILITY AND IMPLEMENTATION: NAF compressor and decompressor, as well as format specification are available at https://github.com/KirillKryukov/naf. Format specification is in public domain. Compressor and decompressor are open source under the zlib/libpng license, free for nearly any use. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Data CompressionSoftwareAlgorithmsBase SequenceHigh-Throughput Nucleotide SequencingNucleotidesSequence Analysis, DNANucleotides

Identifiers

PMID30799504
PMCPMC6761962
OpenAlexW2951893579

What OpenQuestion holds

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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.