Blanchard, AM ORCID: https://orcid.org/0000-0001-6991-7210, Leigh, JA, Egan, SA and Emes, RD ORCID: https://orcid.org/0000-0001-6855-5481, 2015. Transposon insertion mapping with PIMMS – Pragmatic Insertional Mutation Mapping System. Frontiers in Genetics, 6: 139. ISSN 1664-8021
Preview |
Text
11734_Blanchard.pdf - Published version Download (3MB) | Preview |
Abstract
The PIMMS (Pragmatic Insertional Mutation Mapping System) pipeline has been developed for simple conditionally essential genome discovery experiments in bacteria. Capable of using raw sequence data files alongside a FASTA sequence of the reference genome and GFF file, PIMMS will generate a tabulated output of each coding sequence with corresponding mapped insertions accompanied with normalized results enabling streamlined analysis. This allows for a quick assay of the genome to identify conditionally essential genes on a standard desktop computer prioritizing results for further investigation.
Item Type: | Journal article |
---|---|
Publication Title: | Frontiers in Genetics |
Creators: | Blanchard, A.M., Leigh, J.A., Egan, S.A. and Emes, R.D. |
Publisher: | Frontiers Research Foundation |
Date: | 9 April 2015 |
Volume: | 6 |
ISSN: | 1664-8021 |
Identifiers: | Number Type 10.3389/fgene.2015.00139 DOI |
Rights: | Copyright © 2015 Blanchard, Leigh, Egan and Emes. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
Divisions: | Schools > School of Animal, Rural and Environmental Sciences |
Record created by: | Jonathan Gallacher |
Date Added: | 13 Aug 2018 15:49 |
Last Modified: | 08 Feb 2023 11:59 |
URI: | https://irep.ntu.ac.uk/id/eprint/34326 |
Actions (login required)
Edit View |
Statistics
Views
Views per month over past year
Downloads
Downloads per month over past year