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SEDA 2024 update: enhancing the SEquence DAtaset builder for seamless integration into automated data analysis pipelines.
Reboiro-Jato, Miguel; Pérez-Rodríguez, Daniel; Da Silva, Miguel José; Vila-Fernández, David; Vieira, Cristina P; Vieira, Jorge; López-Fernández, Hugo.
Afiliação
  • Reboiro-Jato M; SING Research Group, SERGAS-UVIGO, Galicia Sur Health Research Institute (IIS Galicia Sur), 36213, Vigo, Spain.
  • Pérez-Rodríguez D; CINBIO, Department of Computer Science, ESEI-Escuela Superior de Ingeniería Informática, Universidade de Vigo, 32004, Ourense, Spain.
  • Da Silva MJ; NeuroEpigenetics Lab, Instituto de Investigación Sanitaria de Santiago (IDIS), Complejo Hospitalario Universitario de Santiago, 15706, Santiago de Compostela, Spain.
  • Vila-Fernández D; Translational Neuroscience Group, Área Sanitaria de Vigo-Hospital Álvaro Cunqueiro, SERGAS-UVIGO, CIBERSAM-ISCIII, Galicia Sur Health Research Institute (IIS Galicia Sur), 36213, Vigo, Spain.
  • Vieira CP; SING Research Group, SERGAS-UVIGO, Galicia Sur Health Research Institute (IIS Galicia Sur), 36213, Vigo, Spain.
  • Vieira J; SING Research Group, SERGAS-UVIGO, Galicia Sur Health Research Institute (IIS Galicia Sur), 36213, Vigo, Spain.
  • López-Fernández H; Instituto de Investigação e Inovação em Saúde (I3S), Universidade do Porto, Rua Alfredo Allen, 208, 4200-135, Porto, Portugal.
BMC Bioinformatics ; 25(1): 200, 2024 May 27.
Article em En | MEDLINE | ID: mdl-38802733
ABSTRACT

BACKGROUND:

The initial version of SEDA assists life science researchers without programming skills with the preparation of DNA and protein sequence FASTA files for multiple bioinformatics applications. However, the initial version of SEDA lacks a command-line interface for more advanced users and does not allow the creation of automated analysis pipelines.

RESULTS:

The present paper discusses the updates of the new SEDA release, including the addition of a complete command-line interface, new functionalities like gene annotation, a framework for automated pipelines, and improved integration in Linux environments.

CONCLUSION:

SEDA is an open-source Java application and can be installed using the different distributions available ( https//www.sing-group.org/seda/download.html ) as well as through a Docker image ( https//hub.docker.com/r/pegi3s/seda ). It is released under a GPL-3.0 license, and its source code is publicly accessible on GitHub ( https//github.com/sing-group/seda ). The software version at the time of submission is archived at Zenodo (version v1.6.0, http//doi.org/10.5281/zenodo.10201605 ).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Espanha
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