Literature DB >> 22199385

LaTcOm: a web server for visualizing rare codon clusters in coding sequences.

Athina Theodosiou1, Vasilis J Promponas.   

Abstract

UNLABELLED: We present LaTcOm, a new web tool, which offers several alternative methods for 'rare codon cluster' (RCC) identification from a single and simple graphical user interface. In the current version, three RCC detection schemes are implemented: the recently described %MinMax algorithm and a simplified sliding window approach, along with a novel modification of a linear-time algorithm for the detection of maximally scoring subsequences tailored to the RCC detection problem. Among a number of user tunable parameters, several codon-based scales relevant for RCC detection are available, including tRNA abundance values from Escherichia coli and several codon usage tables from a selection of genomes. Furthermore, useful scale transformations may be performed upon user request (e.g. linear, sigmoid). Users may choose to visualize RCC positions within the submitted sequences either with graphical representations or in textual form for further processing. AVAILABILITY: LaTcOm is freely available online at the URL http://troodos.biol.ucy.ac.cy/latcom.html.

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Year:  2011        PMID: 22199385     DOI: 10.1093/bioinformatics/btr706

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


  3 in total

1.  In-silico Evaluation of Rare Codons and their Positions in the Structure of ATP8b1 Gene.

Authors:  Zarenezhad M; Dehghani S M; Ejtehadi F; Fattahi M R; Mortazavi M; Tabei S M B
Journal:  J Biomed Phys Eng       Date:  2019-02-01

2.  Molecular Modelling and Evaluation of Hidden Information in ABCB11 Gene Mutations.

Authors:  Zarenezhad M; Dehghani S M; Ejtehadi F; Fattahi M R; Mortazavi M; Tabei S M B
Journal:  J Biomed Phys Eng       Date:  2019-06-01

3.  Improving Protein Expression Prediction Using Extra Features and Ensemble Averaging.

Authors:  Armando Fernandes; Susana Vinga
Journal:  PLoS One       Date:  2016-03-02       Impact factor: 3.240

  3 in total

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