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Matthew Mayho

dblp:177/8426 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · unresolved

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

Applied, interdisciplinary, general and emerging computing · 1

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 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
functional genomics
0.212016
The TraDIS toolkit: sequencing and analysis for dense transposon mutant libraries · Bioinform. 2016
Bioinformatics and computational biology › functional genomics
transposon insertion sequencing analysis
0.212016
The TraDIS toolkit: sequencing and analysis for dense transposon mutant libraries · Bioinform. 2016
Bioinformatics and computational biology
sequence analysis
0.112016
The TraDIS toolkit: sequencing and analysis for dense transposon mutant libraries · Bioinform. 2016
Bioinformatics and computational biology › sequence analysis › sequencing data analysis
sequencing data analysis pipeline
0.112016
The TraDIS toolkit: sequencing and analysis for dense transposon mutant libraries · Bioinform. 2016

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

illumina sequencing · 0.2PCR amplification · 0.2
YearPublicationVenuePosition
2016 The TraDIS toolkit: sequencing and analysis for dense transposon mutant libraries
abstract
UNLABELLED: Transposon insertion sequencing is a high-throughput technique for assaying large libraries of otherwise isogenic transposon mutants providing insight into gene essentiality, gene function and genetic interactions. We previously developed the Transposon Directed Insertion Sequencing (TraDIS) protocol for this purpose, which utilizes shearing of genomic DNA followed by specific PCR amplification of transposon-containing fragments and Illumina sequencing. Here we describe an optimized high-yield library preparation and sequencing protocol for TraDIS experiments and a novel software pipeline for analysis of the resulting data. The Bio-Tradis analysis pipeline is implemented as an extensible Perl library which can either be used as is, or as a basis for the development of more advanced analysis tools. This article can serve as a general reference for the application of the TraDIS methodology. AVAILABILITY AND IMPLEMENTATION: The optimized sequencing protocol is included as supplementary information. The Bio-Tradis analysis pipeline is available under a GPL license at https://github.com/sanger-pathogens/Bio-Tradis CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Lars Barquist, Matthew Mayho, Carla A. Cummins, Amy K. Cain, Christine J. Boinett, Andrew J. Page, Gemma C. Langridge, Michael A. Quail, Jacqueline A. Keane, Julian Parkhill
Bioinform.2