Skip to main content

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.

Project description

TRANSIT

Version Build Status Documentation Status Downloads

=======

NOTE: TRANSIT v3.0+ now requires python3.6+. If you want to use TRANSIT with python2, use version < 3.0.

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/stable/transit_overview.html

Changelog

Features

TRANSIT offers a variety of features including:

  • More than 10 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 across 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.

Support

For any questions or comments, please contact Dr. Thomas Ioerger, ioerger@cs.tamu.edu.

Instructions

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:

https://transit.readthedocs.io/en/stable/

Datasets

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:

http://saclab.tamu.edu/essentiality/transit/genomes/

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:

http://www.gnu.org/licenses/gpl.html

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

transit1-3.3.16.tar.gz (78.2 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

transit1-3.3.16-py3-none-any.whl (79.0 MB view details)

Uploaded Python 3

File details

Details for the file transit1-3.3.16.tar.gz.

File metadata

  • Download URL: transit1-3.3.16.tar.gz
  • Upload date:
  • Size: 78.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/2.0.0 pkginfo/1.7.1 requests/2.24.0 requests-toolbelt/0.8.0 tqdm/4.49.0 CPython/3.6.12

File hashes

Hashes for transit1-3.3.16.tar.gz
Algorithm Hash digest
SHA256 ebb568b3e152a31bc1e090fa5e00a94f4a31109856f4cd5c1223ec67efb50683
MD5 1198627f2f30c0ff98f48d94614b540c
BLAKE2b-256 30d0a31d2b2f922e11d4f8df5429a951d7f998e3cc81c30587c803abf7d6d8d5

See more details on using hashes here.

File details

Details for the file transit1-3.3.16-py3-none-any.whl.

File metadata

  • Download URL: transit1-3.3.16-py3-none-any.whl
  • Upload date:
  • Size: 79.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/2.0.0 pkginfo/1.7.1 requests/2.24.0 requests-toolbelt/0.8.0 tqdm/4.49.0 CPython/3.6.12

File hashes

Hashes for transit1-3.3.16-py3-none-any.whl
Algorithm Hash digest
SHA256 7236f34afd39be7f9feb8fb03e272d17976608108cc233ac2e0b4283d353565d
MD5 791c8cfed6dd747e2101a6dfa6c05003
BLAKE2b-256 43063a7a2dd65ac29148b25928a45f0bc7d621c9b9a525e6e635c3c70142e49e

See more details on using hashes here.

Supported by

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