ArticleFrontiers in microbiology2017
Robust Inference of Genetic Exchange Communities from Microbial Genomes Using TF-IDF.
Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed, 25 citations in OpenAlex.
- Resource efficient hybrid baseline for named entity recognition in classical Arabic.Scientific reports · 2025Article
- Genetic Transfer in Action: Uncovering DNA Flow in an Extremophilic Microbial Community.Environmental microbiology · 2025Article
- Utilization of a natural language processing-based approach to determine the composition of artifact residues.BMC bioinformatics · 2024Article
- Alignment-free inference of hierarchical and reticulate phylogenomic relationships.Briefings in bioinformatics · 2019Review
- Alignment-Free Sequence Analysis and Applications.Annual review of biomedical data science · 2018Article
- Bipartite Network Analysis of Gene Sharings in the Microbial World.Molecular biology and evolution · 2018Article
- Background Adjusted Alignment-Free Dissimilarity Measures Improve the Detection of Horizontal Gene Transfer.Frontiers in microbiology · 2018Article
- Alignment-free sequence comparison: benefits, applications, and tools.Genome biology · 2017Review
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Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
Bacteria and archaea can exchange genetic material across lineages through processes of lateral genetic transfer (LGT). Collectively, these exchange relationships can be modeled as a network and analyzed using concepts from graph theory. In particular, densely connected regions within an LGT network have been defined as genetic exchange communities (GECs). However, it has been problematic to construct networks in which edges solely represent LGT. Here we apply term frequency-inverse document frequency (TF-IDF), an alignment-free method originating from document analysis, to infer regions of lateral origin in bacterial genomes. We examine four empirical datasets of different size (number of genomes) and phyletic breadth, varying a key parameter (word length
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Registered trials
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