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RNAthor - fast, accurate normalization, visualization and statistical analysis of RNA probing data resolved by capillary electrophoresis.
Gumna, Julita; Zok, Tomasz; Figurski, Kacper; Pachulska-Wieczorek, Katarzyna; Szachniuk, Marta.
Afiliación
  • Gumna J; Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland.
  • Zok T; Institute of Computing Science, Poznan University of Technology, Poznan, Poland.
  • Figurski K; Institute of Computing Science, Poznan University of Technology, Poznan, Poland.
  • Pachulska-Wieczorek K; Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland.
  • Szachniuk M; Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland.
PLoS One ; 15(10): e0239287, 2020.
Article en En | MEDLINE | ID: mdl-33002005
ABSTRACT
RNAs adopt specific structures to perform their functions, which are critical to fundamental cellular processes. For decades, these structures have been determined and modeled with strong support from computational methods. Still, the accuracy of the latter ones depends on the availability of experimental data, for example, chemical probing information that can define pseudo-energy constraints for RNA folding algorithms. At the same time, diverse computational tools have been developed to facilitate analysis and visualization of data from RNA structure probing experiments followed by capillary electrophoresis or next-generation sequencing. RNAthor, a new software tool for the fully automated normalization of SHAPE and DMS probing data resolved by capillary electrophoresis, has recently joined this collection. RNAthor automatically identifies unreliable probing data. It normalizes the reactivity information to a uniform scale and uses it in the RNA secondary structure prediction. Our web server also provides tools for fast and easy RNA probing data visualization and statistical analysis that facilitates the comparison of multiple data sets. RNAthor is freely available at http//rnathor.cs.put.poznan.pl/.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: ARN / Estadística como Asunto / Electroforesis Capilar / Biología Computacional / Pliegue del ARN Tipo de estudio: Prognostic_studies Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Polonia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: ARN / Estadística como Asunto / Electroforesis Capilar / Biología Computacional / Pliegue del ARN Tipo de estudio: Prognostic_studies Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Polonia