MaizeGDB Phylostrata Tool: Exploring evolutionary origins of maize proteins
Clicks: 2
ID: 324837
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
0.3
/100
2 views
0 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #59 of 103 articles by views in Bioinformatics advances
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Abstract Motivation Phylostratigraphic analysis identifies the evolutionary origins and level of conservation of proteins, facilitating research in evolutionary biology and comparative genomics. Results We developed the MaizeGDB Phylostrata Tool, a custom web application that enables users to explore the evolutionary origins of maize proteins. This tool features interactive visualizations and detailed gene pages incorporating subcellular localization, Gene Ontology (GO) terms, and other resources for homologs. Full-proteome downloads are available for 26 maize inbreds (B73 and the NAM founders). We also provide an updated version of the ‘phylostratr’ R package that makes it more robust to taxonomic updates, as well as example scripts for phylostratigraphic analysis and webtool development for the use of researchers and curators of other species. Availability and Implementation The MaizeGDB Phylostrata Tool is freely available at phylostrata.maizegdb.org . Scripts used for the analysis and web tool are available at https://github.com/LTibbs/PhylostrataWebtool . Contact carson.andorf@usda.gov
| Reference Key |
openalex_W7116661329
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Laura E Tibbs-Cortes, Olivia C. Haley, John L. Portwood, Ethalinda K. S. Cannon, Margaret Woodhouse, Carson M. Andorf |
| Journal | Bioinformatics advances |
| Year | 2026 |
| DOI |
10.1093/bioadv/vbag216
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.