sInterBase: a comprehensive database of Escherichia coli sRNA-mRNA interactions

Shani Cohen; Eden Maximof; Shay Rokach; Mor Tadeski; Isana Veksler-Lublinsky

doi:10.1093/bioinformatics/btad172

sInterBase: a comprehensive database of Escherichia coli sRNA-mRNA interactions

Shani Cohen, Eden Maximof, Shay Rokach, Mor Tadeski, Isana Veksler-Lublinsky

Department of Software and Information Systems Engineering

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

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.

Original language	English
Article number	btad172
Journal	Bioinformatics
Volume	39
Issue number	4
DOIs	https://doi.org/10.1093/bioinformatics/btad172
State	Published - 1 Apr 2023

ASJC Scopus subject areas

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1093/bioinformatics/btad172

Cite this

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abstract = "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.",

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sInterBase: a comprehensive database of Escherichia coli sRNA-mRNA interactions

Abstract

ASJC Scopus subject areas

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