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      DAMBE6: New Tools for Microbial Genomics, Phylogenetics, and Molecular Evolution

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          Abstract

          DAMBE is a comprehensive software workbench for data analysis in molecular biology, phylogenetics, and evolution. Several important new functions have been added since version 5 of DAMBE: 1) comprehensive genomic profiling of translation initiation efficiency of different genes in different prokaryotic species, 2) a new index of translation elongation (I TE) that takes into account both tRNA-mediated selection and background mutation on codon–anticodon adaptation, 3) a new and accurate phylogenetic approach based on pairwise alignment only, which is useful for highly divergent sequences from which a reliable multiple sequence alignment is difficult to obtain. Many other functions have been updated and improved including PWM for motif characterization, Gibbs sampler for de novo motif discovery, hidden Markov models for protein secondary structure prediction, self-organizing map for nonlinear clustering of transcriptomic data, comprehensive sequence alignment, and phylogenetic functions. DAMBE features a graphic, user-friendly and intuitive interface, and is freely available from http://dambe.bio.uottawa.ca.

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          Most cited references38

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          Vienna RNA secondary structure server.

          The Vienna RNA secondary structure server provides a web interface to the most frequently used functions of the Vienna RNA software package for the analysis of RNA secondary structures. It currently offers prediction of secondary structure from a single sequence, prediction of the consensus secondary structure for a set of aligned sequences and the design of sequences that will fold into a predefined structure. All three services can be accessed via the Vienna RNA web server at http://rna.tbi.univie.ac.at/.
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            The codon Adaptation Index--a measure of directional synonymous codon usage bias, and its potential applications.

            P. Sharp, W Li (1987)
            A simple, effective measure of synonymous codon usage bias, the Codon Adaptation Index, is detailed. The index uses a reference set of highly expressed genes from a species to assess the relative merits of each codon, and a score for a gene is calculated from the frequency of use of all codons in that gene. The index assesses the extent to which selection has been effective in moulding the pattern of codon usage. In that respect it is useful for predicting the level of expression of a gene, for assessing the adaptation of viral genes to their hosts, and for making comparisons of codon usage in different organisms. The index may also give an approximate indication of the likely success of heterologous gene expression.
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              The 'effective number of codons' used in a gene.

              F. Wright (1990)
              A simple measure is presented that quantifies how far the codon usage of a gene departs from equal usage of synonymous codons. This measure of synonymous codon usage bias, the 'effective number of codons used in a gene', Nc, can be easily calculated from codon usage data alone, and is independent of gene length and amino acid (aa) composition. Nc can take values from 20, in the case of extreme bias where one codon is exclusively used for each aa, to 61 when the use of alternative synonymous codons is equally likely. Nc thus provides an intuitively meaningful measure of the extent of codon preference in a gene. Codon usage patterns across genes can be investigated by the Nc-plot: a plot of Nc vs. G + C content at synonymous sites. Nc-plots are produced for Homo sapiens, Saccharomyces cerevisiae, Escherichia coli, Bacillus subtilis, Dictyostelium discoideum, and Drosophila melanogaster. A FORTRAN77 program written to calculate Nc is available on request.
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                Author and article information

                Journal
                J Hered
                J. Hered
                jhered
                Journal of Heredity
                Oxford University Press (US )
                0022-1503
                1465-7333
                June 2017
                04 April 2017
                04 April 2017
                : 108
                : 4
                : 431-437
                Affiliations
                [1 ]From the Department of Biology and Center for Advanced Research in Environmental Genomics, University of Ottawa , 30 Marie Curie, PO Box 450, Station A, Ottawa, ON K1N 6N5, Canada.
                Author notes

                Address correspondence to X. Xia at the address above, or e-mail: xxia@ 123456uottawa.ca .

                Corresponding Editor: C Scott Baker

                Article
                esx033
                10.1093/jhered/esx033
                5434544
                28379490
                7fb17e2c-5681-4b14-b18d-564de62309e3
                © The American Genetic Association. 2017.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 09 March 2017
                : 01 April 2017
                : 30 March 2017
                Page count
                Pages: 7
                Funding
                Funded by: Discovery Grant of Natural Science and Engineering Research Council of Canada
                Award ID: RGPIN/261252–2013
                Categories
                Original Article

                Genetics
                bioinformatics and computational genetics,molecular systematics and phylogenetics,bioinformatics,genomics,index of translation elongation,phylogenetic analysis based on pairwise alignment,translation initiation analysis

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