Evidence map›Paper›PMID 31827584›Full record

ArticleComputational and mathematical methods in medicine2019

K-mer-Based Motif Analysis in Insect Species across

Matyas Cserhati, Peng Xiao, Chittibabu Guda

Abstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Pato: prediction of probiotic bacteria using metabolic features.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
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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.

Matyas CserhatiDepartment of Genetics, Cell Biology & Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, USA.
Peng XiaoDepartment of Genetics, Cell Biology & Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, USA.
Chittibabu GudaDepartment of Genetics, Cell Biology & Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, USA.ORCID https://orcid.org/0000-0002-5393-9316

Funding

Therapeutics Core (Page 286)P30MH062261 · NIMH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI GENDELMAN, HOWARD E · 2000 to 2021
$37.7M
NIMH NIH HHS P30 MH062261
6 · The paper itself

Abstract

Short k-mer sequences from DNA are both conserved and diverged across species owing to their functional significance in speciation, which enables their use in many species classification algorithms. In the present study, we developed a methodology to analyze the DNA k-mers of whole genome, 5' UTR, intron, and 3' UTR regions from 58 insect species belonging to three genera of

Indexed as

3' Untranslated Regions5' Untranslated RegionsAlgorithmsAmino Acid MotifsAnimalsAnophelesComputational BiologyDrosophilaGenome, InsectGenomicsIntronsPhylogenyProbabilitySequence Analysis, DNASpecies SpecificityTandem Repeat Sequences3' Untranslated Regions5' Untranslated Regions

Identifiers

PMID31827584
PMCPMC6881769

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.