TRANSIT is a tool for the analysis of Tn-Seq data. It provides an easy to use graphical interface and access to three different analysis methods that allow the user to determine essentiality in a single condition as well as between conditions.
# TRANSIT 2.3.3
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Welcome! This is the distribution for the TRANSIT and TPP tools developed by the Ioerger Lab at Texas A&M University.
TRANSIT is a tool for processing and statistical analysis of Tn-Seq data. It provides an easy to use graphical interface and access to three different analysis methods that allow the user to determine essentiality in a single condition as well as between conditions.
TRANSIT Home page: http://saclab.tamu.edu/essentiality/transit/index.html
TRANSIT Documentation: https://transit.readthedocs.io/en/latest/transit_overview.html
## Features TRANSIT offers a variety of features including:
- More than 8 analysis methods, including methods for determining conditional essentiality as well as genetic interactions.
- Ability to analyze datasets from libraries constructed using himar1 or tn5 transposons.
- TrackView to help visualize read-counts accross the genome.
- Can export datasets into a variety of formats, including IGV.
- Includes a variety of normalization methods.
- Quality Control diagnostics, to idenfity poor quality datasets.
- Ability to install as a python package, to import and use in your own personal scripts.
For any questions or comments, please contact Dr. Thomas Ioerger, email@example.com.
For full instructions on how to install and run TRANSIT (and the optional pre-processor, TPP), please see the documentation included in this distribution (“src/pytransit/doc” folder) or visit the following web page:
The TRANSIT distribution comes with some example .wig files in the data/ directory, as well as an example annotation file (.prot_table format) in the genomes/ directory. Additional genomes may be found on the following website:
## Copyright Information
Source code for TRANSIT and TPP are available open source under the terms of the GNU General Public License (Version 3.0) as published by the Free Software Foundation. For more information on this license, please see the included LICENSE.md file or visit their website at:
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
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