Advantages of mixing bioinformatics and visualization approaches for analyzing sRNA-mediated regulatory bacterial networks. - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Briefings in Bioinformatics Année : 2015

Advantages of mixing bioinformatics and visualization approaches for analyzing sRNA-mediated regulatory bacterial networks.

Résumé

The revolution in high-throughput sequencing technologies has enabled the acquisition of gigabytes of RNA sequences in many different conditions and has highlighted an unexpected number of small RNAs (sRNAs) in bacteria. Ongoing exploitation of these data enables numerous applications for investigating bacterial transacting sRNA-mediated regulation networks. Focusing on sRNAs that regulate mRNA translation in trans, recent works have noted several sRNA-based regulatory pathways that are essential for key cellular processes. Although the number of known bacterial sRNAs is increasing, the experimental validation of their interactions with mRNA targets remains challenging and involves expensive and time-consuming experimental strategies. Hence, bioinformatics is crucial for selecting and prioritizing candidates before designing any experimental work. However, current software for target prediction produces a prohibitive number of candidates because of the lack of biological knowledge regarding the rules governing sRNA–mRNA interactions. Therefore, there is a real need to develop new approaches to help biologists focus on the most promising predicted sRNA–mRNA interactions. In this perspective, this review aims at presenting the advantages of mixing bioinformatics and visualization approaches for analyzing predicted sRNA-mediated regulatory bacterial networks.

Dates et versions

hal-01090907 , version 1 (04-12-2014)

Identifiants

Citer

Patricia Thebault, Romain Bourqui, Benchimol William, Christine Gaspin, Pascal Sirand-Pugnet, et al.. Advantages of mixing bioinformatics and visualization approaches for analyzing sRNA-mediated regulatory bacterial networks.. Briefings in Bioinformatics, 2015, 16 (5), pp.1-11. ⟨10.1093/bib/bbu045⟩. ⟨hal-01090907⟩
141 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More