Evidence map›Paper›PMID 40064775›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Sequence Demarcation Tool (SDT), a Free User-Friendly Computer Program Using Pairwise Genetic Identity Calculations to Classify Nucleotide or Amino Acid Sequences.

Brejnev Muhizi Muhire, Philippe Roumagnac, Arvind Varsani, Darren Patrick Martin

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
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  3. Article
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  6. Article
  7. Evolutionary features of new picorna-like viruses inCurrent research in parasitology & vector-borne diseases · 2025
    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.

Brejnev Muhizi MuhireDivision of Computational Biology, Department of Integrative Biomedical Sciences, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
Philippe RoumagnacUMR PHIM, CIRAD, Montpellier, France. philippe.roumagnac@cirad.fr.
Arvind VarsaniThe Biodesign Center for Fundamental and Applied Microbiomics, Center for Evolution and Medicine, School of Life Sciences, Tempe, AZ, USA.
Darren Patrick MartinDivision of Computational Biology, Department of Integrative Biomedical Sciences, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sequence Demarcation Tool (SDT) is a free user-friendly computer program that has been adopted by many geminivirologists as a means of robustly and reproducibly using pairwise genetic identity calculations to classify geminivirus whole genome sequences. As input SDT takes unaligned sequences and it outputs publication quality pairwise identity plots and color-coded distance matrices. Whereas the distance plots are useful for guiding the establishment of strain, species or genus demarcation thresholds that will yield minimal classification conflicts, the distance matrices aid the classification of sequences according to the taxonomic demarcation criteria of the International Committee on Taxonomy of Viruses. Accordingly, over the past 10 years, SDT has been extensively used for the establishment of new genera in the family Geminiviridae and for the classification of hundreds of new species within individual geminivirus genera.

Indexed as

Computational BiologyGeminiviridaeSoftwareAmino Acid SequenceBase SequenceGenome, ViralPhylogenyClassificationVirus sequence

Identifiers

PMID40064775

What OpenQuestion holds

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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.