Literature DB >> 18712296

UNAFold: software for nucleic acid folding and hybridization.

Nicholas R Markham1, Michael Zuker.   

Abstract

The UNAFold software package is an integrated collection of programs that simulate folding, hybridization, and melting pathways for one or two single-stranded nucleic acid sequences. The name is derived from "Unified Nucleic Acid Folding." Folding (secondary structure) prediction for single-stranded RNA or DNA combines free energy minimization, partition function calculations and stochastic sampling. For melting simulations, the package computes entire melting profiles, not just melting temperatures. UV absorbance at 260 nm, heat capacity change (C(p)), and mole fractions of different molecular species are computed as a function of temperature. The package installs and runs on all Unix and Linux platforms that we have looked at, including Mac OS X. Images of secondary structures, hybridizations, and dot plots may be computed using common formats. Similarly, a variety of melting profile plots is created when appropriate. These latter plots include experimental results if they are provided. The package is "command line" driven. Underlying compiled programs may be used individually, or in special combinations through the use of a variety of Perl scripts. Users are encouraged to create their own scripts to supplement what comes with the package. This evolving software is available for download at http://www.bioinfo.rpi.edu/applications/hybrid/download.php .

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Year:  2008        PMID: 18712296     DOI: 10.1007/978-1-60327-429-6_1

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  412 in total

1.  Genome-wide analysis of microRNAs in rubber tree (Hevea brasiliensis L.) using high-throughput sequencing.

Authors:  Manassawe Lertpanyasampatha; Lei Gao; Panida Kongsawadworakul; Unchera Viboonjun; Hervé Chrestin; Renyi Liu; Xuemei Chen; Jarunya Narangajavana
Journal:  Planta       Date:  2012-03-10       Impact factor: 4.116

2.  A range of complex probabilistic models for RNA secondary structure prediction that includes the nearest-neighbor model and more.

Authors:  Elena Rivas; Raymond Lang; Sean R Eddy
Journal:  RNA       Date:  2011-12-22       Impact factor: 4.942

3.  On the page number of RNA secondary structures with pseudoknots.

Authors:  Peter Clote; Stefan Dobrev; Ivan Dotu; Evangelos Kranakis; Danny Krizanc; Jorge Urrutia
Journal:  J Math Biol       Date:  2011-12-10       Impact factor: 2.259

4.  Rationally designed families of orthogonal RNA regulators of translation.

Authors:  Vivek K Mutalik; Lei Qi; Joao C Guimaraes; Julius B Lucks; Adam P Arkin
Journal:  Nat Chem Biol       Date:  2012-03-25       Impact factor: 15.040

5.  RNAspace.org: An integrated environment for the prediction, annotation, and analysis of ncRNA.

Authors:  Marie-Josée Cros; Antoine de Monte; Jérôme Mariette; Philippe Bardou; Benjamin Grenier-Boley; Daniel Gautheret; Hélène Touzet; Christine Gaspin
Journal:  RNA       Date:  2011-09-23       Impact factor: 4.942

6.  Comparing RNA secondary structures using a relaxed base-pair score.

Authors:  Phaedra Agius; Kristin P Bennett; Michael Zuker
Journal:  RNA       Date:  2010-04-01       Impact factor: 4.942

7.  mathFISH, a web tool that uses thermodynamics-based mathematical models for in silico evaluation of oligonucleotide probes for fluorescence in situ hybridization.

Authors:  L Safak Yilmaz; Shreyas Parnerkar; Daniel R Noguera
Journal:  Appl Environ Microbiol       Date:  2010-12-10       Impact factor: 4.792

8.  Thermodynamic characterization of RNA 2 × 3 nucleotide internal loops.

Authors:  Nina Z Hausmann; Brent M Znosko
Journal:  Biochemistry       Date:  2012-06-21       Impact factor: 3.162

Review 9.  Designing highly active siRNAs for therapeutic applications.

Authors:  S Patrick Walton; Ming Wu; Joseph A Gredell; Christina Chan
Journal:  FEBS J       Date:  2010-12       Impact factor: 5.542

10.  Development of a panel of recombinase polymerase amplification assays for detection of common bacterial urinary tract infection pathogens.

Authors:  B Raja; H J Goux; A Marapadaga; S Rajagopalan; K Kourentzi; R C Willson
Journal:  J Appl Microbiol       Date:  2017-08       Impact factor: 3.772

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