ENCprime 20140112 – Calculate Codon Usage Bias summary statistic, Nc’

ENCprime 20140112

:: DESCRIPTION

ENCprime is a program that calculates a codon usage bias summary statistic, Nc’. It is based on the effective number of codons statistic Nc (or ENC) developed by Frank Wright, but improves upon it by accounting for background nucleotide composition.

::DEVELOPER

Novembre Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux / MacOsX

:: DOWNLOAD

  ENCprime

:: MORE INFORMATION

Sherlocc 1.0 – Detect Statistically Relevant Conserved Rare Codon Clusters

Sherlocc 1.0

:: DESCRIPTION

Sherlocc is a PERL written program able to scan Pfam protein families for conserved regions that have a low codon usage frequency (rare codon clusters). This program represents a novel approach as it is efficient enough to perform large-scale analysis of the proteome via the Pfam protein family database (representing about 70% of the known protein universe).

::DEVELOPER

Najmanovich Research Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/Linux/MacOsX
  • Perl

:: DOWNLOAD

Sherlocc

:: MORE INFORMATION

Citation

Bioinformatics. 2012 Jun 1;28(11):1438-45. doi: 10.1093/bioinformatics/bts149. Epub 2012 Mar 30.
Large-scale analysis of conserved rare codon clusters suggests an involvement in co-translational molecular recognition events.
Chartier M, Gaudreault F, Najmanovich R.

RCA – Relative Codon Adaptation index

RCA

:: DESCRIPTION

RCA (Relative codon adaptation) is a novel index for measuring codon adaptation in genomic sequences. Similar to CAI, RCA can use a reference geneset to estimate gene expression, but RCA takes directly into account the background nucleotide distribution.

::DEVELOPER

the Erill Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / MacOsX
  • MS Office

:: DOWNLOAD

RCA

:: MORE INFORMATION

Citation

DNA Res. 2010 Jun;17(3):185-96. doi: 10.1093/dnares/dsq012. Epub 2010 May 7.
Relative codon adaptation: a generic codon bias index for prediction of gene expression.
Fox JM, Erill I.

phyloExpCM 0.32 – Phylogenetic Analysis with experimentally determined Codon Models

phyloExpCM 0.32

:: DESCRIPTION

phyloExpCM is a Python package to implement experimentally determined codom models of substitution for phylogenetics.

::DEVELOPER

Bloom Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python

:: DOWNLOAD

 phyloExpCM

:: MORE INFORMATION

Citation

Bloom JD.
An experimentally determined evolutionary model dramatically improves phylogenetic fit.
Mol Biol Evol. 2014;31:1956-1978.

GeneDesign 5.54 – Codon Manipulation for ORFs

GeneDesign 5.54

:: DESCRIPTION

GeneDesign is a codon manipulation library. Its main purpose is to ease the design and assembly of synthetic DNA.

::DEVELOPER

Joel Bader lab

:: SCREENSHOTS

N/A

::REQUIREMENTS

  • Linux
  • Perl

:: DOWNLOAD

 GeneDesign

:: MORE INFORMATION

Citation

Design-A-Gene with GeneDesign.
Richardson SM, Liu S, Boeke JD, Bader JS.
Methods Mol Biol. 2012;852:235-47. doi: 10.1007/978-1-61779-564-0_18.

CAIcal 1.4 – Assess Codon Usage Adaptation

CAIcal 1.4

:: DESCRIPTION

The CAIcal (Codon Adaptation Index calulator) server performs several computations in relation to codon usage and the codon adaptation of DNA or RNA sequences to host organisms.

::DEVELOPER

P. Puigbo, Ph.D.

:: SCREENSHOTS

:: REQUIREMENTS

  • Linux
  • Perl
  • TCL/TK

:: DOWNLOAD

  CAIcal

:: MORE INFORMATION

Citation

Puigbo P, Bravo IG and Garcia-Vallve S. (2008)
CAIcal: a combined set of tools to assess codon usage adaptation.
Biology Direct, 3:38.

INCA 2.1 – INteractive Codon usage Analysis

INCA 2.1

:: DESCRIPTION

INCA provides an array of features useful in analysis of synonymous codon usage in whole genomes. In addition to computing codon frequencies and several usage indices, such as ‘codon bias’, effective Nc and CAI, the primary strength of INCA has numerous options for the interactive graphical display of calculated values, thus allowing visual detection of various trends in codon usage. Finally, INCA includes a specific unsupervised neural network algorithm, the self-organizing map, used for gene clustering according to the preferred utilization of codons.

::DEVELOPER

The Bioinformatics group

:: SCREENSHOTS

:: REQUIREMENTS

  • Linux / Windows

:: DOWNLOAD

 INCA

:: MORE INFORMATION

Citation:

Supek F, Vlahovicek K;
INCA: synonymous codon usage analysis and clustering by means of self-organizing map.
Bioinformatics. 2004 Sep 22;20(14):2329-2330

RescueNet 0.91 – Codon usage Anaysis and Gene Prediction

RescueNet 0.91

:: DESCRIPTION

RescueNet (Relative Synonymous Codon Usage Neural Network) uses the Self-Organizing Map neural network algorithm for codon usage anaysis and gene-prediction. In its gene prediction functionality, RescueNet can estimate multiple models of gene codon usage properties during training. This offers advantageous gene-finding performance in cases where a diverse number of codon usage patterns are displayed. Examples include metagenomic datasets and prokaryotic genomes where mutational pressure, translational efficiency and horizontal gene transfer have diversified the displayed codon usage patterns.

:: DEVELOPER

Shaun Mahony

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/ Windows

:: DOWNLOAD

 RescueNet

:: MORE INFORMATION

Citation:

Gene prediction using the Self-Organizing Map: automatic generation of multiple gene models.
Mahony S, McInerney JO, Smith TJ, Golden A.
BMC Bioinformatics. 2004 Mar 5;5:23.

 

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