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

Author:

Chafra Fatma12,Borim Correa Felipe13,Oni Faith13,Konu Karakayalı Özlen245,Stadler Peter F3678910ORCID,Nunes da Rocha Ulisses13ORCID

Affiliation:

1. Department of Environmental Microbiology, Helmholtz Centre for Environmental Research—UFZ , Leipzig 04318, Germany

2. Department of Molecular Biology and Genetics, Bilkent University , Ankara 06800, Turkey

3. Department of Computer Science and Interdisciplinary Center of Bioinformatics, University of Leipzig , Leipzig 04107, Germany

4. Interdisciplinary Program in Neuroscience, Bilkent University , Ankara 06800, Turkey

5. UNAM-Institute of Materials Science and Nanotechnology, Bilkent University , Ankara 06800, Turkey

6. Interdisciplinary Center for Bioinformatics, German Center for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Competence Center for Scalable Data Services and Solutions, Leipzig Research Center for Civilization Diseases, Leipzig Research Center for Civilization Diseases (LIFE), University of Leipzig , Leipzig 04109, Germany

7. Max Planck Institute for Mathematics in the Sciences , Leipzig 04103, Germany

8. Institute for Theoretical Chemistry, University of Vienna , Vienna 1090, Austria

9. Facultad de Ciencias, Universidad National de Colombia , Sede Bogotá 111711, Colombia

10. Santa Fe Institute , Santa Fe, NM 87501, USA

Abstract

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 Bioinformatics Advances online.

Funder

Deutsche Forschungsgemeinschaft

German Research Foundation

Publisher

Oxford University Press (OUP)

Subject

Computer Science Applications,Genetics,Molecular Biology,Structural Biology

Reference29 articles.

1. The universal protein resource (UniProt);Bairoch;Nucleic Acids Res,2005

2. Considerations for constructing a protein sequence database for metaproteomics;Blakeley-Ruiz;Comput. Struct. Biotechnol. J,2022

3. Protein bioinformatics databases and resources;Chen;Methods Mol. Biol. (Clifton, N.J.),2017

4. Recommendations (1992) of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology. pp 862. Academic Press, San Diego;Enzyme nomenclature;Biochem. Educ,1993

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3