Skip to main content

Streamlining phylogenomic data gathering, processing and visualization

Project description

TriFusion

Making life easier for phylogenomic data gathering, processing and visualization

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

:loudspeaker: ANNOUNCING: TriFusion 1.0.0 is live! :tada: :balloon:

Build Status Documentation Status Codacy Badge codecov PyPI PyPI AUR Join the chat at https://gitter.im/TriFusion-dev/Lobby DOI

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 (GUI version only)

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.

# Install locally, without sudo permissions, using the --user flag
pip install trifusion --user

Note that TriFusion is a python2 application, so make sure that your pip is from the correct python version. If python3 is the default installation on your machine, you may need to run pip2 instead.

By itself, this command will only install the command line version of TriFusion. If you want to install the complete TriFusion package with the GUI libraries, 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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

trifusion-1.0.2.tar.gz (4.3 MB view details)

Uploaded Source

Built Distribution

trifusion-1.0.2-py2-none-any.whl (3.0 MB view details)

Uploaded Python 2

File details

Details for the file trifusion-1.0.2.tar.gz.

File metadata

  • Download URL: trifusion-1.0.2.tar.gz
  • Upload date:
  • Size: 4.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.2 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15

File hashes

Hashes for trifusion-1.0.2.tar.gz
Algorithm Hash digest
SHA256 a96081c71a27a20946b7d0ce05bee0b9c89d43117ef70da64bb2ee313f2937ed
MD5 36a21c89e1d25c704abdaf8cad64e673
BLAKE2b-256 f3be3796adf09095eeff82a2c6bf58c42ec91c8fcf4ab87fc4fb93ca7d9ce69d

See more details on using hashes here.

File details

Details for the file trifusion-1.0.2-py2-none-any.whl.

File metadata

  • Download URL: trifusion-1.0.2-py2-none-any.whl
  • Upload date:
  • Size: 3.0 MB
  • Tags: Python 2
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.2 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/2.7.15

File hashes

Hashes for trifusion-1.0.2-py2-none-any.whl
Algorithm Hash digest
SHA256 db117edb75bb65aa340efbd577f46938ed9b2143bf6207a0084b369673f34e3b
MD5 234cb783aa5365f62b22ae898011c360
BLAKE2b-256 8fb083573efef9f4c99d7ee519fb196141a37486d6aa8153a113c6a1d635ac29

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page