All Projects → chgibb → PHAT

chgibb / PHAT

Licence: GPL-3.0 license
Pathogen-Host Analysis Tool - A modern Next-Generation Sequencing (NGS) analysis platform

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PHAT Input Reads Success

PHAT Output Align

PHAT Edited ContigPHAT Add Contig

PHAT Tool Bar

PHAT BLAST Run

PHAT BLAST Form

PHAT Action Shot 1

Latest Stable Release: [email protected]

Documentation Quicklinks

  1. How to Get PHAT
  2. Working With PHAT Projects
  3. Inputting Files
  4. Running Quality Control (QC) Reports
  5. Running Alignments
  6. Reports and Analyses
  7. Circular Visualization
  8. BLASTing Alignments

Application Architecture

  1. Overview
  2. Contributing
  3. Repository Structure
  4. Performance

The Pathogen-Host Analysis Tool (PHAT) is an application for processing and analyzing next-generation sequencing (NGS) data as it relates to relationships between pathogen and host organisms. PHAT provides quality control (QC) reporting on sequence files, alignment of sequence files against reference files, single-nucleotide polymorphism (SNP) prediction, linear and circular alignment viewing, and Excel and comma separated values (CSV) output.

PHAT is under development in the Zehbe Lab (https://www.zehbelab.com/) at the Thunder Bay Regional Health Research Institute (TBRHRI) and Lakehead University (LU) under the supervison of Dr. Ingeborg Zehbe. This work is supported by a Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery grant to Dr. Ingeborg Zehbe (#RGPIN-2015-03855) and a NSERC Alexander Graham Bell Canada Graduate Scholarship-Doctoral (CGS-D) to Robert Jackson (#454402-2014).

Project Supervisor/Principal Investigator: Dr. Ingeborg Zehbe, LU/TBRHRI Research Chair & Senior Scientist
Project Lead/Biologist: Robert Jackson, PhD Biotech Candidate
Project Lead/Software Developer: Chris Gibb, HBSc Comp Sci Student
Team Members: Mitchell Pynn, Shane Liu, Jeremy Braun, Nick Catanzaro, Zachary Moorman

How to Cite PHAT:

Gibb CM, Jackson R, Mohammed S, Fiaidhi J, Zehbe I. Pathogen-Host Analysis Tool (PHAT): an integrative platform to analyze next-generation sequencing data. Bioinformatics. 2018. DOI: 10.1093/bioinformatics/bty1003

Latest Beta Release: [email protected]

Release History

Github All Releases

Build Statuses master beta stable
Windows AppVeyor branch AppVeyor branch AppVeyor branch
Linux Build Status Build Status Build Status
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