Evidence map›Paper›PMID 27014208›Full record

ArticleFrontiers in microbiology2016

DistAMo: A Web-Based Tool to Characterize DNA-Motif Distribution on Bacterial Chromosomes.

Patrick Sobetzko, Lukas Jelonek, Marc Strickert, Wenxia Han, Alexander Goesmann, Torsten Waldminghaus

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. ThemBio · 2025
    Article
  3. Review
  4. Article
  5. Impacts ofMicrobial genomics · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

6 authors.

Patrick SobetzkoChromosome Biology Group, LOEWE Center for Synthetic Microbiology, SYNMIKRO, Philipps-University Marburg Marburg, Germany.
Lukas JelonekBioinformatics and Systems Biology, Faculty of Biology and Chemistry, Justus-Liebig-University Giessen, Germany.
Marc StrickertChromosome Biology Group, LOEWE Center for Synthetic Microbiology, SYNMIKRO, Philipps-University Marburg Marburg, Germany.
Wenxia HanChromosome Biology Group, LOEWE Center for Synthetic Microbiology, SYNMIKRO, Philipps-University Marburg Marburg, Germany.
Alexander GoesmannBioinformatics and Systems Biology, Faculty of Biology and Chemistry, Justus-Liebig-University Giessen, Germany.
Torsten WaldminghausChromosome Biology Group, LOEWE Center for Synthetic Microbiology, SYNMIKRO, Philipps-University Marburg Marburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Short DNA motifs are involved in a multitude of functions such as for example chromosome segregation, DNA replication or mismatch repair. Distribution of such motifs is often not random and the specific chromosomal pattern relates to the respective motif function. Computational approaches which quantitatively assess such chromosomal motif patterns are necessary. Here we present a new computer tool DistAMo (Distribution Analysis of DNA Motifs). The algorithm uses codon redundancy to calculate the relative abundance of short DNA motifs from single genes to entire chromosomes. Comparative genomics analyses of the GATC-motif distribution in γ-proteobacterial genomes using DistAMo revealed that (i) genes beside the replication origin are enriched in GATCs, (ii) genome-wide GATC distribution follows a distinct pattern, and (iii) genes involved in DNA replication and repair are enriched in GATCs. These features are specific for bacterial chromosomes encoding a Dam methyltransferase. The new software is available as a stand-alone or as an easy-to-use web-based server version at http://www.computational.bio.uni-giessen.de/distamo.

Indexed as

algorithmbacteriabioinformaticschromosome maintenancecomputational biologyDNA replicationEscherichia coli

Identifiers

PMID27014208
PMCPMC4786541

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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.