: RNA primary and secondary motif discovery is an important step in the annotation and characterization of unknown interaction dynamics between RNAs and RNA-Binding Proteins, and several methods have been developed to meet the need of fast and efficient discovery of interaction motifs. Recent advances have increased the amount of data produced by experimental assays and there is no available method suitable for the analysis of all type of results. Here we present a simple workflow to help choosing the more appropriate method, depending on the starting situation, among the three algorithms that best cover the landscape of approaches. A detailed analysis is presented to highlight the need for different algorithms in different working settings. In conclusion, the proposed workflow depends on the nature of the starting data and on the availability of RNA annotations.

Pietrosanto, M., Ausiello, G., Helmer-Citterich, M. (2021). Motif Discovery from CLIP Experiments. In E. Picardi (a cura di), RNA Bioinformatics (pp. 43-50). Springer [10.1007/978-1-0716-1307-8_3].

Motif Discovery from CLIP Experiments

Pietrosanto, Marco;Ausiello, Gabriele;Helmer-Citterich, Manuela
2021-01-01

Abstract

: RNA primary and secondary motif discovery is an important step in the annotation and characterization of unknown interaction dynamics between RNAs and RNA-Binding Proteins, and several methods have been developed to meet the need of fast and efficient discovery of interaction motifs. Recent advances have increased the amount of data produced by experimental assays and there is no available method suitable for the analysis of all type of results. Here we present a simple workflow to help choosing the more appropriate method, depending on the starting situation, among the three algorithms that best cover the landscape of approaches. A detailed analysis is presented to highlight the need for different algorithms in different working settings. In conclusion, the proposed workflow depends on the nature of the starting data and on the availability of RNA annotations.
2021
Settore BIO/11 - BIOLOGIA MOLECOLARE
English
Rilevanza internazionale
Capitolo o saggio
Sequence Analysis, RNA
Software
Nucleic Acid Conformation
CLIP-Seq
High-throughput assay
Motif discovery
RNA
RNA secondary structure
Algorithms
Animals
Binding Sites
Computational Biology
Datasets as Topic
High-Throughput Nucleotide Sequencing
Humans
Protein Binding
RNA-Binding Proteins
Pietrosanto, M., Ausiello, G., Helmer-Citterich, M. (2021). Motif Discovery from CLIP Experiments. In E. Picardi (a cura di), RNA Bioinformatics (pp. 43-50). Springer [10.1007/978-1-0716-1307-8_3].
Pietrosanto, M; Ausiello, G; Helmer-Citterich, M
Contributo in libro
File in questo prodotto:
File Dimensione Formato  
Pietrosantoetal_2021_2.pdf

solo utenti autorizzati

Tipologia: Altro materiale allegato
Licenza: Copyright dell'editore
Dimensione 5.4 MB
Formato Adobe PDF
5.4 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/292027
Citazioni
  • ???jsp.display-item.citation.pmc??? 0
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact