starbase: A Database and Toolkit for Exploration of Extremely Large Mobile Elements in Fungi
Forsythe, A. E.; Gluck-Thaler, E.; Vogan, A. A.
Show abstract
Starships are a recently discovered superfamily of extremely large mobile genetic element (MGE)s in fungi that encode diverse gene sequences, many of unknown function. Starships are widespread throughout filamentous Ascomycetes (Pezizomycotina), but relatively little is known about their fine-grained distributions at lower taxonomic levels. As more and more Starships are discovered, it is increasingly important to more effectively catalog their gene contents and taxonomic distributions to better understand their contributions to fungal evolution. To address this, we developed starbase, a web server and comparative toolkit for exploring Starship diversity and hypothesis generation. The starbase database is constructed from Starships identified from existing studies, as well as an exhaustive de novo survey of Starship sequences within a set of 19 863 publicly available fungal genome assemblies. This database consists of 5 493 Starships, their associated nucleotide sequences, captain gene protein sequences, cargo gene annotations, and other metadata pertaining to the annotation and analysis of Starships in fungal genomes. As a resource, starbase provides new avenues for studying structural variation in fungal genomes. starbase provides several key features for the research community: a centralized repository of curated Starship annotations, a standardized accessioning system enabling consistent referencing of elements across studies, tools for searching existing sequences and classifying novel Starships based on established classification schemes, and a submission portal encouraging community contributions. As Starship identification becomes a routine component of fungal genome annotation, starbase provides a framework for organizing this growing body of data and facilitating comparative analyses across the expanding landscape of fungal genomic diversity.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Bakta: Rapid & standardized annotation of bacterial genomes via alignment-free sequence identification 94%
- Prevalence and diversity of TAL effector-like proteins in fungal endosymbiotic Mycetohabitans spp. 94%
- Beyond Blast: Enabling Microbiologists to Better Extract Literature, Taxonomic Distributions and Gene Neighborhood Information for Protein Families 94%
Similar papers in this journal
- Genome reconstruction of the non-culturable spinach downy mildew Peronospora effusa by metagenome filtering 94%
- Extraction of near-complete genomes from metagenomic samples: a new service in PATRIC 93%
- Comparative evaluation of bioinformatic tools for virus-host prediction and their application to a highly diverse community in the Cuatro Cienegas Basin, Mexico 93%
Similar papers in this journal
- LINbase: A Web service for genome-based identification of microbes as members of crowdsourced taxa 95%
- TransposonUltimate: software for transposon classification, annotation and detection 93%
- BGCFlow: Systematic pangenome workflow for the analysis of biosynthetic gene clusters across large genomic datasets 93%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.