Evidence map›Paper›PMID 41669552›Full record

ArticlePeerJ2026

Normalized compression distance for DNA classification.

Gavin Hearne, Mohammadsaleh S Refahi, Haozhe Neil Duan, James R Brown, Gail L Rosen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Gavin HearneDepartment of Electrical Engineering, Drexel University, Philadelphia, PA, United States of America.
Mohammadsaleh S RefahiDepartment of Electrical Engineering, Drexel University, Philadelphia, PA, United States of America.
Haozhe Neil DuanDepartment of Electrical Engineering, Drexel University, Philadelphia, PA, United States of America.
James R BrownDepartment of Electrical Engineering, Drexel University, Philadelphia, PA, United States of America.
Gail L RosenDepartment of Electrical Engineering, Drexel University, Philadelphia, PA, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analyzing the origin and diversity of numerous genomic sequences, such as those sampled from the human microbiome, is an important first step in genomic analysis. The use of normalized compression distance (NCD) has demonstrated capabilities in the field of text classification as a low-resource alternative to deep neural networks (DNNs) by leveraging compression algorithms to approximate Kolmogorov information distance. In an effort to apply this technique toward genomics tasks akin to tools such as Many-against-Many sequence searching (MMseqs) and Kraken2, we have explored the use of a

Indexed as

Data CompressionDNAGenomicsSequence Analysis, DNACompression AlgorithmsGenes, ArchaealGenes, BacterialOpen Reading FramesDNAAlignment-free methodsBioinformaticsCompression distanceGenomic classificationGenomic sequence analysisGzip compressionMetagenomics

Identifiers

PMID41669552
PMCPMC12884959

What OpenQuestion holds

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LicenceCC BY
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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.