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Title:
RNA Consensus Structure Prediction With RNAalifold | SpringerLink
Description:
The secondary structure of most functional RNA molecules is strongly conserved in evolution. Prediction of these conserved structures is therefore of particular interest when studying noncoding RNAs. Moreover, structure predictions on the basis of several sequences...
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28 years and 1 months (reg. 1997-05-29).

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Keywords {🔍}

rna, google, scholar, article, structure, pubmed, prediction, cas, secondary, sequences, bioinformatics, hofacker, information, comparative, consensus, biol, privacy, cookies, content, publish, protocol, structures, sequence, alignment, search, genomics, rnaalifold, rnas, folding, chapter, stadler, mol, bmc, data, log, journal, research, conserved, aligned, access, multiple, acids, res, gardner, press, optional, personal, including, parties, policy,

Topics {✒️}

stochastic context-free grammars nearest-neighbor energy parameters consensus structure prediction rna secondary structure rna secondary structures secondary structure prediction privacy choices/manage cookies predicting rna structure secondary structure common optimal computer folding rna structure evolution secondary structures conserved larger rna sequences free-energy minimization humana press sequence structure comparisons functional rna molecules aligned rna sequences comparative genomics journal finder publish european economic area genome-wide surveys ieee/acm trans accelerated probabilistic inference michigan medical school energy directed folding proto-sequence problems expanded sequence dependence conditions privacy policy consensus structure aligned sequences taking nucleic acids res studying noncoding rnas rnaalifold program predicts accepting optional cookies protocol hofacker secondary structure main content log protocol cite consensus folding rna sequences chapter log rna folding multiple alignment journal publish conserved structures structure predictions bmc bioinformatic 5 privacy policy personal data

Schema {🗺️}

ScholarlyArticle:
      headline:RNA Consensus Structure Prediction With RNAalifold
      pageEnd:543
      pageStart:527
      image:https://media.springernature.com/w153/springer-static/cover/book/978-1-59745-514-5.jpg
      genre:
         Springer Protocols
      isPartOf:
         name:Comparative Genomics
         isbn:
            978-1-59745-514-5
            978-1-58829-693-1
         type:Book
      publisher:
         name:Humana Press
         logo:
            url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
            type:ImageObject
         type:Organization
      author:
            name:Ivo L. Hofacker
            affiliation:
                  name:University of Vienna
                  address:
                     name:Department of Theoretical Chemistry, University of Vienna, Vienna
                     type:PostalAddress
                  type:Organization
            type:Person
      keywords:RNA structure prediction, RNA secondary structure, consensus structure, structural noncoding RNA
      description:The secondary structure of most functional RNA molecules is strongly conserved in evolution. Prediction of these conserved structures is therefore of particular interest when studying noncoding RNAs. Moreover, structure predictions on the basis of several sequences produce much more accurate results than energy directed folding of single sequences. The RNAalifold program predicts the consensus structure for a set of aligned sequences taking into account both thermodynamic stability and sequence covariation. In this contribution, we provide a tutorial on how to install and use RNAalifold, as well as a guide on how to interpret the results.
      datePublished:2007
      isAccessibleForFree:
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         type:WebPageElement
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Book:
      name:Comparative Genomics
      isbn:
         978-1-59745-514-5
         978-1-58829-693-1
Organization:
      name:Humana Press
      logo:
         url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
         type:ImageObject
      name:University of Vienna
      address:
         name:Department of Theoretical Chemistry, University of Vienna, Vienna
         type:PostalAddress
ImageObject:
      url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
Person:
      name:Ivo L. Hofacker
      affiliation:
            name:University of Vienna
            address:
               name:Department of Theoretical Chemistry, University of Vienna, Vienna
               type:PostalAddress
            type:Organization
PostalAddress:
      name:Department of Theoretical Chemistry, University of Vienna, Vienna
WebPageElement:
      isAccessibleForFree:
      cssSelector:.main-content

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