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Nathaniel S. Devoss

dblp:370/4738 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0003-0465-2770ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

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 › transcriptomics
transcriptome comparison
0.712023
CoSIA: an R Bioconductor package for CrOss Species Investigation and Analysis · Bioinform. 2023
Bioinformatics and computational biology
RNA sequencing
0.212023
CoSIA: an R Bioconductor package for CrOss Species Investigation and Analysis · Bioinform. 2023
Bioinformatics and computational biology › gene expression analysis › gene expression pattern analysis
tissue-specific gene expression
0.212023
CoSIA: an R Bioconductor package for CrOss Species Investigation and Analysis · Bioinform. 2023

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

visualization · 0.7variability metrics · 0.7
YearPublicationVenuePosition
2023 CoSIA: an R Bioconductor package for CrOss Species Investigation and Analysis
abstract
SUMMARY: High-throughput sequencing technologies have enabled cross-species comparative transcriptomic studies; however, there are numerous challenges for these studies due to biological and technical factors. We developed CoSIA (Cross-Species Investigation and Analysis), a Bioconductor R package and Shiny app that provides an alternative framework for cross-species transcriptomic comparison of non-diseased wild-type RNA sequencing gene expression data from Bgee across tissues and species (human, mouse, rat, zebrafish, fly, and nematode) through visualization of variability, diversity, and specificity metrics. AVAILABILITY AND IMPLEMENTATION: https://github.com/lasseignelab/CoSIA.
Anisha Haldar, Vishal H. Oza, Nathaniel S. Devoss, Amanda D. Clark, Brittany N. Lasseigne
Bioinform.3