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Zachary Charlop-Powers

dblp:167/2037 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2015
0000-0001-8816-4680ORCID · 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 › computational microbiology
microbiome analysis
0.212015
phylogeo: an R package for geographic analysis and visualization of microbiome data · Bioinform. 2015
Bioinformatics and computational biology › microbiology
microbial ecology
0.112015
phylogeo: an R package for geographic analysis and visualization of microbiome data · Bioinform. 2015

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

ecological distance · 0.2
YearPublicationVenuePosition
2015 phylogeo: an R package for geographic analysis and visualization of microbiome data
abstract
MOTIVATION: We have created an R package named phylogeo that provides a set of geographic utilities for sequencing-based microbial ecology studies. Although the geographic location of samples is an important aspect of environmental microbiology, none of the major software packages used in processing microbiome data include utilities that allow users to map and explore the spatial dimension of their data. phylogeo solves this problem by providing a set of plotting and mapping functions that can be used to visualize the geographic distribution of samples, to look at the relatedness of microbiomes using ecological distance, and to map the geographic distribution of particular sequences. By extending the popular phyloseq package and using the same data structures and command formats, phylogeo allows users to easily map and explore the geographic dimensions of their data from the R programming language. AVAILABILITY AND IMPLEMENTATION: phylogeo is documented and freely available http://zachcp.github.io/phylogeo CONTACT: : [email protected].
Zachary Charlop-Powers, Sean F. Brady
Bioinform.1