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Christopher M. Gibb

dblp:246/1445 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics
next-generation sequencing data analysis
0.412019
Pathogen-Host Analysis Tool (PHAT): an integrative platform to analyze next-generation sequencing data · Bioinform. 2019
Bioinformatics and computational biology
genomics
0.112019
Pathogen-Host Analysis Tool (PHAT): an integrative platform to analyze next-generation sequencing data · Bioinform. 2019
Bioinformatics and computational biology › genomics
variant calling
0.112019
Pathogen-Host Analysis Tool (PHAT): an integrative platform to analyze next-generation sequencing data · Bioinform. 2019

Methods — techniques the papers use, named apart from their topics

sequence alignment · 0.4
YearPublicationVenuePosition
2019 Pathogen-Host Analysis Tool (PHAT): an integrative platform to analyze next-generation sequencing data
abstract
SUMMARY: The Pathogen-Host Analysis Tool (PHAT) is an application for processing and analyzing next-generation sequencing (NGS) data as it relates to relationships between pathogens and their hosts. Unlike custom scripts and tedious pipeline programming, PHAT provides an integrative platform encompassing raw and aligned sequence and reference file input, quality control (QC) reporting, alignment and variant calling, linear and circular alignment viewing, and graphical and tabular output. This novel tool aims to be user-friendly for life scientists studying diverse pathogen-host relationships. AVAILABILITY AND IMPLEMENTATION: The project is available on GitHub (https://github.com/chgibb/PHAT) and includes convenient installers, as well as portable and source versions, for both Windows and Linux (Debian and RedHat). Up-to-date documentation for PHAT, including user guides and development notes, can be found at https://chgibb.github.io/PHATDocs/. We encourage users and developers to provide feedback (error reporting, suggestions and comments).
Christopher M. Gibb, Robert Jackson, Sabah Mohammed, Jinan Fiaidhi, Ingeborg Zehbe
Bioinform.1