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TRANSIT - A Software Tool for Himar1 TnSeq Analysis

Open access
DeJesus, Michael A., Ambadipudi, Chaitra, Baker, Richard, Sassetti, Christopher, Ioerger, Thomas R.·2015·PLOS Computational Biology

Abstract

TnSeq has become a popular technique for determining the essentiality of genomic regions in bacterial organisms. Several methods have been developed to analyze the wealth of data that has been obtained through TnSeq experiments. We developed a tool for analyzing Himar1 TnSeq data called TRANSIT. TRANSIT provides a graphical interface to three different statistical methods for analyzing TnSeq data. These methods cover a variety of approaches capable of identifying essential genes in individual datasets as well as comparative analysis between conditions. We demonstrate the utility of this software by analyzing TnSeq datasets of M. tuberculosis grown on glycerol and cholesterol. We show that TRANSIT can be used to discover genes which have been previously implicated for growth on these carbon sources. TRANSIT is written in Python, and thus can be run on Windows, OSX and Linux platforms. The source code is distributed under the GNU GPL v3 license and can be obtained from the following GitHub repository: https://github.com/mad-lab/transit.

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Metadata

Authors
DeJesus, M. A., Ambadipudi, C., Baker, R., Sassetti, C., & Ioerger, T. R.
Venue
PLOS Computational Biology
Published
2015-10-08
Volume
11
Issue
10
Pages
e1004401
ISSN
  • 1553-734X (ISSN-L)
  • 1553-7358
OpenAlex
W2122385388
Cited by
254
References
4
FWCI
5.14
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: TRANSIT - A Software Tool for Himar1 TnSeq Analysis. https://app.cochat.ai/papers/10.1371/journal.pcbi.1004401
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DeJesus, M. A., Ambadipudi, C., Baker, R., Sassetti, C., & Ioerger, T. R. (2015). TRANSIT - A Software Tool for Himar1 TnSeq Analysis. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1004401

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