Evidence map›Paper›PMID 35650262›Full record

ArticleScientific reports2022

Flexible protein database based on amino acid k-mers.

Maxime Déraspe, Sébastien Boisvert, François Laviolette, Paul H Roy, Jacques Corbeil

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Computational function prediction of bacteria and phage proteins.Microbiology and molecular biology reviews : MMBR · 2025
    Review
  4. Article
  5. aaHash: recursive amino acid sequence hashing.Bioinformatics advances · 2023
    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

5 authors.

Maxime DéraspeDepartment of Molecular Medicine, Université Laval, Quebec, Canada. maxime.deraspe@crchudequebec.ulaval.ca.
Sébastien BoisvertBodycad, 2035 rue du Haut-Bord, Quebec, Canada.
François LavioletteBig Data Research Center, Université Laval, Quebec, Canada.
Paul H RoyInfectious Disease Research Centre, Université Laval, Quebec, Canada.
Jacques CorbeilDepartment of Molecular Medicine, Université Laval, Quebec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of proteins is one of the most computationally intensive steps in genomics studies. It usually relies on aligners that do not accommodate rich information on proteins and require additional pipelining steps for protein identification. We introduce kAAmer, a protein database engine based on amino-acid k-mers that provides efficient identification of proteins while supporting the incorporation of flexible annotations on these proteins. Moreover, the database is built to be used as a microservice, to be hosted and queried remotely.

Indexed as

Amino AcidsSoftwareAlgorithmsDatabases, ProteinSequence Analysis, DNAAmino Acids

Identifiers

PMID35650262
PMCPMC9160020

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.