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Last Commit
Aug. 18, 2017
Created
Feb. 11, 2014

TriFusion

Making life easier for phylogenomic data gathering, processing and visualization

Website: http://odiogosilva.github.io/TriFusion/

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What is TriFusion?

TriFusion is a modern GUI and command line application designed to make the life of anyone with proteome and/or alignment sequence data easier and more pleasurable. Regardless of your experience in bioinformatics, TriFusion is easy to use and offers a wide array of powerfull features to help you deal with your data. At the same time, it was developed to handle the enormous amount of data that is generated nowadays.

TriFusion is an open source, cross-platform application written in Python 2.7 and using the Kivy framework to build the graphical interface.

What can TriFusion do for you?

Here is an overview of what it can do for you across its three main modules.

Orthology - Search and explore orthologs across proteomes

  • Searches for ortholog sequences across multiple species.
  • Filters ortholog sequences according to the gene copy number and/or number of taxa present.
  • Graphical visualization of ortholog data.
  • Exports your orthologs as protein or nucleotide sequences.

Find out more

Process - Blazing fast processing of alignment files

  • Conversion or concatenation of alignment files into several popular formats (check supported formats).
  • Collapse identical sequences into the same haplotype.
  • Create consensus sequences for each alignment with several options on how to handle sequence variation.
  • Filter either alignments (according to whether they contain or exclude certain taxa, to a minimum proportion of taxa, and/or variable sites) or alignment columns (according to codon position, missing data and gaps).
  • Code indel patterns of your alignments into a binary matrix that is appended to the alignment.
  • Revert concatenated alignments or export sub-regions into individual files
  • Set gene and codon partitions as well as substitution models (Nexus format)
  • Create file/taxa groups to quickly perform operations on different sets of data.
  • It's fast and memory efficient. Converting 3,093 files with 376 taxa can be performed in just 30 seconds and using less than 90Mb of RAM memory (check the benchmarks table).

Find out more

Statistics - Effortless visual exploration of your data

  • Provides instant information on overall and per gene summary statistcs.
  • TriFusion offers dozens of graphical and statistical options to explore your data:
    • General information plots.
    • Polymorphism and sequence variation plots.
    • Missing data plots.
    • Outlier plots.
  • Publication ready figures

Find out more

Installation

Executables binaries

The latest stable release of TriFusion can be installed as a standalone application using one of the following installers. This only includes the GUI component of TriFusion. If you also want the command line version, see Installation from source.

Linux

MacOS

Windows

Note for Windows 8.x and 10 users:

Executing the TriFusion installer may generate a warning from SmartScreen. To continue with the installation, click the "More info" label and then "Run anyway".

Installation from source

TriFusion is on PyPi and can be easily installed with pip. If you want to use the only the command line version run this command on any operating system with pip.

pip install trifusion --user

For additional installation information or if you want to install the complete TriFusion package, follow these instructions according to your operating system.


If you are unconvinced that a terminal version would be useful/pratical, check out how easy and fast it is to use TriFusion to process 614 Fasta alignments into phylip and nexus output formats :-):

How to use

Tutorials on how to use TriFusion for its many tasks can be perused here.

Documentation

You can download TriFusion User Guide here.

Citation

When using OrthoMCL to find ortholog clusters, please cite the original software:

Fischer, S., Brunk, B. P., Chen, F., Gao, X., Harb, O. S., Iodice, J. B., Shanmugam, D., Roos, D. S. and Stoeckert, C. J. Using OrthoMCL to Assign Proteins to OrthoMCL-DB Groups or to Cluster Proteomes Into New Ortholog Groups Current Protocols in Bioinformatics. 2011 35:6.12.1–6.12.19.

We're working on a manuscript for TriFusion now.

Latest Releases
Dewit!
 Jul. 25 2017
1.0.0-rc1
 Jul. 25 2017
El Concatenero
 Apr. 20 2017
V0.4.11
 Jul. 13 2016
V0.4.0
 Jul. 6 2016