Evidence map›Paper›PMID 37448812›Full record

ArticleBioinformatics advances2023

StandEnA: a customizable workflow for standardized annotation and generating a presence-absence matrix of proteins.

Fatma Chafra, Felipe Borim Correa, Faith Oni, Özlen Konu Karakayalı, Peter F Stadler, Ulisses Nunes da Rocha

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Article in Bioinformatics advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Fatma ChafraDepartment of Environmental Microbiology, Helmholtz Centre for Environmental Research-UFZ, Leipzig 04318, Germany.
Felipe Borim CorreaDepartment of Environmental Microbiology, Helmholtz Centre for Environmental Research-UFZ, Leipzig 04318, Germany.
Faith OniDepartment of Environmental Microbiology, Helmholtz Centre for Environmental Research-UFZ, Leipzig 04318, Germany.
Özlen Konu KarakayalıDepartment of Molecular Biology and Genetics, Bilkent University, Ankara 06800, Turkey.
Peter F StadlerDepartment of Computer Science and Interdisciplinary Center of Bioinformatics, University of Leipzig, Leipzig 04107, Germany.ORCID https://orcid.org/0000-0002-5016-5191
Ulisses Nunes da RochaDepartment of Environmental Microbiology, Helmholtz Centre for Environmental Research-UFZ, Leipzig 04318, Germany.ORCID https://orcid.org/0000-0001-6972-6692

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: Several genome annotation tools standardize annotation outputs for comparability. During standardization, these tools do not allow user-friendly customization of annotation databases; limiting their flexibility and applicability in downstream analysis. Results: StandEnA is a user-friendly command-line tool for Linux that facilitates the generation of custom databases by retrieving protein sequences from multiple databases. Directed by a user-defined list of standard names, StandEnA retrieves synonyms to search for corresponding sequences in a set of public databases. Custom databases are used in prokaryotic genome annotation to generate standardized presence-absence matrices and reference files containing standard database identifiers. To showcase StandEnA, we applied it to six metagenome-assembled genomes to analyze three different pathways. Availability and implementation: StandEnA is an open-source software available at https://github.com/mdsufz/StandEnA. Supplementary information: Supplementary data are available at

Identifiers

PMID37448812
PMCPMC10336186

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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.