Literature DB >> 22495755

RFMapp: ribosome flow model application.

Hadas Zur1, Tamir Tuller.   

Abstract

UNLABELLED: The RFMapp is a graphical user interface application based on the RFM (ribosome flow model), enabling the estimation of the translation elongation rates of messenger ribonucleic acids (mRNAs) and the profile of ribosomal densities along the mRNAs, in a computationally efficient way. The RFMapp is based on the approach previously described by Reuveni et al., and unlike other traditional approaches in the field, which are mainly related to the genes' mean codon translation efficiency, the RFM additionally considers the codon order, the ribosomes' size and their order. Thus, it has been shown that RFM outperforms traditional predictors when analyzing both heterologous and endogenous genes.
AVAILABILITY AND IMPLEMENTATION: Distributable cross-platform application and guideline are available for download at: http://www.cs.tau.ac.il/~tamirtul/RFM_Installers/install.htm.

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Year:  2012        PMID: 22495755     DOI: 10.1093/bioinformatics/bts185

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  4 in total

1.  Predictive biophysical modeling and understanding of the dynamics of mRNA translation and its evolution.

Authors:  Hadas Zur; Tamir Tuller
Journal:  Nucleic Acids Res       Date:  2016-09-02       Impact factor: 16.971

2.  Unbiased Quantitative Models of Protein Translation Derived from Ribosome Profiling Data.

Authors:  Alexey A Gritsenko; Marc Hulsman; Marcel J T Reinders; Dick de Ridder
Journal:  PLoS Comput Biol       Date:  2015-08-14       Impact factor: 4.475

3.  Optimizing the dynamics of protein expression.

Authors:  Jan-Hendrik Trösemeier; Sophia Rudorf; Holger Loessner; Benjamin Hofner; Andreas Reuter; Thomas Schulenborg; Ina Koch; Isabelle Bekeredjian-Ding; Reinhard Lipowsky; Christel Kamp
Journal:  Sci Rep       Date:  2019-05-17       Impact factor: 4.379

4.  Algorithms for ribosome traffic engineering and their potential in improving host cells' titer and growth rate.

Authors:  Hadas Zur; Rachel Cohen-Kupiec; Sophie Vinokour; Tamir Tuller
Journal:  Sci Rep       Date:  2020-12-03       Impact factor: 4.379

  4 in total

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