Difference between revisions of "Main Page"

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== Software (Currently Supported) ==
 
== Software (Currently Supported) ==
 
Key: P = phylogenetics, S = statistics, B = biogeography, V = visualization, G = genomics, M = metagenomics, L = lateral genetic transfer, A = sequence alignment
 
Key: P = phylogenetics, S = statistics, B = biogeography, V = visualization, G = genomics, M = metagenomics, L = lateral genetic transfer, A = sequence alignment
 
* [http://bioinformatics.org.au/evolsim/ EvolSimulator]: a simulation test bed for hypotheses of genome evolution. (PL)
 
  
 
* [[ExpressBetaDiversity | Express Beta Diversity (EBD)]]: taxon- and phylogenetic-based beta diversity measures. (P)
 
* [[ExpressBetaDiversity | Express Beta Diversity (EBD)]]: taxon- and phylogenetic-based beta diversity measures. (P)
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* [[NetworkDiversity| Network Diversity]]: calculation of beta diversity over phylogenetic networks. (P)
 
* [[NetworkDiversity| Network Diversity]]: calculation of beta diversity over phylogenetic networks. (P)
 
* [[RITA]]: Rapid Identification of Taxonomic Assignments for metagenomic fragments (M).
 
  
 
* [http://kiwi.cs.dal.ca/Software/rSPR rSPR]: software to calculate rooted subtree-prune-and-regraft distances and rooted agreement forests. (PL)
 
* [http://kiwi.cs.dal.ca/Software/rSPR rSPR]: software to calculate rooted subtree-prune-and-regraft distances and rooted agreement forests. (PL)
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* [http://bioinformatics.org.au/eeep/ EEEP (Efficient Evaluation of Edit Paths)]: software to infer putative pathways of lateral genetic transfer by comparing gene trees against a rooted reference tree (PL)
 
* [http://bioinformatics.org.au/eeep/ EEEP (Efficient Evaluation of Edit Paths)]: software to infer putative pathways of lateral genetic transfer by comparing gene trees against a rooted reference tree (PL)
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 +
* [http://bioinformatics.org.au/evolsim/ EvolSimulator]: a simulation test bed for hypotheses of genome evolution. (PL)
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 +
* [[RITA]]: Rapid Identification of Taxonomic Assignments for metagenomic fragments (M).
  
 
* [[PICA]]: genotype-phenotype data mining software (G).
 
* [[PICA]]: genotype-phenotype data mining software (G).

Revision as of 15:54, 1 May 2015

Using GenGIS to investigate the distribution of photorhodopsin genes around the Galapagos Islands (data courtesy of Adrian Sharma, Jeremy Koenig, and Olga Zhaxybayeva).

Welcome to the Bioinformatics Software and Resources page.

Software (Currently Supported)

Key: P = phylogenetics, S = statistics, B = biogeography, V = visualization, G = genomics, M = metagenomics, L = lateral genetic transfer, A = sequence alignment

  • GenGIS: an application that allows users to combine digital map data with information about biological sequences collected from the environment. GenGIS provides a 3D graphical interface in which the user can navigate and explore the data, as well as a Python interface that allows easy scripting of statistical analyses using the Rpy libraries. (PSBVM)
  • rSPR: software to calculate rooted subtree-prune-and-regraft distances and rooted agreement forests. (PL)
  • SPANNER: Homology-based taxonomic classification of protein sequences. (GML)
  • SPRSupertrees: software to calculate rooted supertrees that minimize the SPR distance. (PL)
  • STAMP: a software package for analyzing metagenomic profiles that promotes ‘best practices’ in choosing appropriate statistical techniques and reporting results. (SMV)


Older Software

The following software packages have largely been superseded by others in the above list, or by software written by others. The software should still work, but we can no longer offer significant support for it.

  • EvolSimulator: a simulation test bed for hypotheses of genome evolution. (PL)
  • RITA: Rapid Identification of Taxonomic Assignments for metagenomic fragments (M).
  • PICA: genotype-phenotype data mining software (G).
  • Radié: a tool that allows characters to be visualized against the background of a phylogenetic tree. The software includes several different visual and numeric representations of the ‘convexity’ of a given character, in other words the extent to which different character traits form distinct groups within the tree. (PV)
  • GANN: a machine learning method designed with the complexities of transcriptional regulation in mind.
  • WOOF: a tool designed to rigourously apply the principle of visual alignment validation. (SA)

Mailing list

  • Join our mailing list to keep informed about new developments.

Datasets

Contributors