4.6 Article

StructRNAfinder: an automated pipeline and web server for RNA families prediction

期刊

BMC BIOINFORMATICS
卷 19, 期 -, 页码 -

出版社

BIOMED CENTRAL LTD
DOI: 10.1186/s12859-018-2052-2

关键词

RNA family; RNA structure; Noncoding RNAs; Covariance models; Web server; Tool; Pipeline

资金

  1. Programa Becas Iberoamerica, Jovenes Profesores e Investigadores, Santander Universidades, Chile
  2. Vicerrectoria de Investigation, Universidad Mayor, Chile
  3. Fondecyt Iniciacion, Comision National de Investigacion Cientifica y Tecnologica (CONICYT), Chile [11161020]
  4. Fondo de Financiamiento de Centro de Investigacion en Areas Prioritarias (FONDAP), CONICYT [15130011]
  5. Programa Nacional de Insercion de Capital Humano Avanzado en la Academia, PAI-CONICYT, Chile [PAI79170021]
  6. Programa de Bienes Publicos Estrategicos para la Competitividad, Corporacion de Fomento de la Produccion (CORFO), Chile [16BPE-62321]
  7. Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP), Brazil [12/19278-6]
  8. Subsidio Semilia de Asignacion Flexible (SSAF), CORFO [14-SSAF-27061-]
  9. Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [12/19278-6] Funding Source: FAPESP

向作者/读者索取更多资源

Background: The function of many noncoding RNAs (ncRNAs) depend upon their secondary structures. Over the last decades, several methodologies have been developed to predict such structures or to use them to functionally annotate RNAs into RNA families. However, to fully perform this analysis, researchers should utilize multiple tools, which require the constant parsing and processing of several intermediate files. This makes the large-scale prediction and annotation of RNAs a daunting task even to researchers with good computational or bioinformatics skills. Results: We present an automated pipeline named StructRNAfinder that predicts and annotates RNA families in transcript or genome sequences. This single tool not only displays the sequence/structural consensus alignments for each RNA family, according to Rfam database but also provides a taxonomic overview for each assigned functional RNA. Moreover, we implemented a user-friendly web service that allows researchers to upload their own nucleotide sequences in order to perform the whole analysis. Finally, we provided a stand-alone version of StructRNAfinder to be used in large-scale projects. The tool was developed under GNU General Public License (GPLv3) and is freely available at http//structrnafinder.integrativebioinformatics.me. Conclusions: The main advantage of StructRNAfinder relies on the large-scale processing and integrating the data obtained by each tool and database employed along the workflow, of which several files are generated and displayed in user-friendly reports, useful for downstream analyses and data exploration.

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