Evidence map›Paper›PMID 40177264›Full record

ArticleBioinformatics advances2025

Adaptive adjustment of profile HMM significance thresholds improves functional and metabolic insights into microbial genomes.

Kathryn Kananen, Iva Veseli, Christian J Quiles Pérez, Samuel E Miller, A Murat Eren, Patrick H Bradley

Abstract read
In one paragraph

Article in Bioinformatics advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Anaerobic riboflavin degradation by human gutJournal of bacteriology · 2026
    Article
  2. Article
  3. Review
  4. Anaerobic riboflavin degradation by human gutbioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
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  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Kathryn KananenDepartment of Microbiology, The Ohio State University, Columbus, OH 43210, United States.
Iva VeseliHelmholtz Institute for Functional Marine Biodiversity, 26129 Oldenburg, Germany.
Christian J Quiles PérezDepartment of Microbiology, The Ohio State University, Columbus, OH 43210, United States.
Samuel E MillerJosephine Bay Paul Center for Comparative Molecular Biology and Evolution, Marine Biological Laboratory, Woods Hole, MA 02543, United States.ORCID https://orcid.org/0000-0002-2836-1401
A Murat ErenHelmholtz Institute for Functional Marine Biodiversity, 26129 Oldenburg, Germany.ORCID https://orcid.org/0000-0001-9013-4827
Patrick H BradleyDepartment of Microbiology, The Ohio State University, Columbus, OH 43210, United States.ORCID https://orcid.org/0000-0002-9231-8344

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: Gene function annotation in microbial genomes and metagenomes is a fundamental Results: Here, we apply three open-source software tools that can annotate KOfams to genomes of phylogenetically diverse bacterial families from host-associated and free-living biomes. We use multiple computational approaches to benchmark these methods and investigate individual case studies where they differ. Our results show that despite their fundamental similarities, these methods have different annotation rates and quality. In particular, a method that adaptively tunes sequence similarity thresholds substantially improves sensitivity while maintaining high accuracy. We observe particularly large improvements for protein families with few reference sequences, or when annotating genomes from nonmodel organisms (such as gut-dwelling Availability and implementation: Anvi'o is available at https://anvio.org under the GNU GPL license. Scripts and workflow are available at https://github.com/pbradleylab/2023-anvio-comparison under the MIT license.

Identifiers

PMID40177264
PMCPMC11964587

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LicenceCC BY
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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.