Evidence map›Paper›PMID 29762724›Full record

ArticleNucleic acids research2018

AAI-profiler: fast proteome-wide exploratory analysis reveals taxonomic identity, misclassification and contamination.

Alan J Medlar, Petri Törönen, Liisa Holm

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing 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

76 citing papers in PubMed.

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  9. International journal of systematic and evolutionary microbiology · 2026
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  10. Microbial Evolution and Systematics: Archaea and Bacteria.Progress in molecular and subcellular biology · 2026
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  16. Microorganisms · 2025
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  18. ABP-B9, a new strain ofFrontiers in plant science · 2025
    Article
  19. Article
  20. Article

16 more citing papers are in PubMed but not listed here.

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.

Alan J MedlarInstitute of Biotechnology, Helsinki Institute of Life Sciences (HiLife), University of Helsinki, 00014 Helsinki, Finland.
Petri TörönenInstitute of Biotechnology, Helsinki Institute of Life Sciences (HiLife), University of Helsinki, 00014 Helsinki, Finland.
Liisa HolmInstitute of Biotechnology, Helsinki Institute of Life Sciences (HiLife), University of Helsinki, 00014 Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present AAI-profiler, a web server for exploratory analysis and quality control in comparative genomics. AAI-profiler summarizes proteome-wide sequence search results to identify novel species, assess the need for taxonomic reclassification and detect multi-isolate and contaminated samples. AAI-profiler visualises results using a scatterplot that shows the Average Amino-acid Identity (AAI) from the query proteome to all similar species in the sequence database. Taxonomic groups are indicated by colour and marker styles, making outliers easy to spot. AAI-profiler uses SANSparallel to perform high-performance homology searches, making proteome-wide analysis possible. We demonstrate the efficacy of AAI-profiler in the discovery of a close relationship between two bacterial symbionts of an omnivorous pirate bug (Orius) and a thrip (Frankliniella occidentalis), an important pest in agriculture. The symbionts represent novel species within the genus Rosenbergiella so far described only in floral nectar. AAI-profiler is easy to use, the analysis presented only required two mouse clicks and was completed in a few minutes. AAI-profiler is available at http://ekhidna2.biocenter.helsinki.fi/AAI.

Indexed as

PhylogenySoftwareAmino Acid SequenceAnimalsBacterial ProteinsChlamydia trachomatisErwiniaGene ExpressionGenomicsHeteropteraInternetMolecular Sequence AnnotationProteomeSequence Homology, Amino AcidSymbiosisThysanopteraBacterial ProteinsProteome

Identifiers

PMID29762724
PMCPMC6030964

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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.