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Katherine Maia McCoy

dblp:209/7880 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2017
0000-0002-2546-6347ORCID · reported

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics
microbial genomics
0.312017
MAGenTA: a Galaxy implemented tool for complete Tn-Seq analysis and data visualization · Bioinform. 2017
Bioinformatics and computational biology › functional genomics
transposon insertion sequencing analysis
0.312017
MAGenTA: a Galaxy implemented tool for complete Tn-Seq analysis and data visualization · Bioinform. 2017

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

sliding window analysis · 0.3bottleneck calculation · 0.3
YearPublicationVenuePosition
2017 MAGenTA: a Galaxy implemented tool for complete Tn-Seq analysis and data visualization
abstract
MOTIVATION: Transposon insertion sequencing (Tn-Seq) is a microbial systems-level tool, that can determine on a genome-wide scale and in high-throughput, whether a gene, or a specific genomic region, is important for fitness under a specific experimental condition. RESULTS: Here, we present MAGenTA, a suite of analysis tools which accurately calculate the growth rate for each disrupted gene in the genome to enable the discovery of: (i) new leads for gene function, (ii) non-coding RNAs; (iii) genes, pathways and ncRNAs that are involved in tolerating drugs or induce disease; (iv) higher order genome organization; and (v) host-factors that affect bacterial host susceptibility. MAGenTA is a complete Tn-Seq analysis pipeline making sensitive genome-wide fitness (i.e. growth rate) analysis available for most transposons and Tn-Seq associated approaches (e.g. TraDis, HiTS, IN-Seq) and includes fitness (growth rate) calculations, sliding window analysis, bottleneck calculations and corrections, statistics to compare experiments and strains and genome-wide fitness visualization. AVAILABILITY AND IMPLEMENTATION: MAGenTA is available at the Galaxy public ToolShed repository and all source code can be found and are freely available at https://vanopijnenlab.github.io/MAGenTA/ . CONTACT: [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Katherine Maia McCoy, Margaret L. Antonio, Tim van Opijnen
Bioinform.1