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sInterBase: a comprehensive database of Escherichia coli sRNA-mRNA interactions.
Cohen, Shani; Maximof, Eden; Rokach, Shay; Tadeski, Mor; Veksler-Lublinsky, Isana.
Afiliación
  • Cohen S; Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, David Ben-Gurion Blvd. 1, Beer-Sheva 8410501, Israel.
  • Maximof E; Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, David Ben-Gurion Blvd. 1, Beer-Sheva 8410501, Israel.
  • Rokach S; Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, David Ben-Gurion Blvd. 1, Beer-Sheva 8410501, Israel.
  • Tadeski M; Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, David Ben-Gurion Blvd. 1, Beer-Sheva 8410501, Israel.
  • Veksler-Lublinsky I; Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, David Ben-Gurion Blvd. 1, Beer-Sheva 8410501, Israel.
Bioinformatics ; 39(4)2023 04 03.
Article en En | MEDLINE | ID: mdl-37042720
SUMMARY: sInterBase is a comprehensive and easy-to-operate web-based platform for mining experimentally identified sRNA-mRNA interactions in Escherichia coli. Interactions in the database are annotated with an interaction duplex and a set of descriptive features. sInterBase provides advanced functionality, such as flexible search based on various criteria, statistical analysis via charts, browsing, and downloading interactions for further use. AVAILABILITY AND IMPLEMENTATION: sInterBase is available at https://sinterbase.cs.bgu.ac.il/.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Proteínas de Escherichia coli / Escherichia coli Tipo de estudio: Prognostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Proteínas de Escherichia coli / Escherichia coli Tipo de estudio: Prognostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article