ZSeekerDB: A database of Z-nucleic acid sequences across organismal genomes
Zaranikas, S.; Megalovasilis, G.; Provatas, K.; Wang, G.; Zaravinos, A.; Vasquez, K. M.; Georgakopoulos Soares, I.
Show abstract
Alternative (non-B) nucleic acid structures such as Z-nucleic acids are emerging as key regulators of genome function. The density and distribution of Z-nucleic acid sequences across organismal and viral genomes can provide insights into their biological roles and evolutionary trajectory. Using our recently developed ZSeeker algorithm, we systematically analyzed over 280,000 organismal genome assemblies, identifying more than 850 million putative Z-forming loci. We also incorporated genomic coordinates, Z-score, and taxonomic metadata, enabling cross-species comparative and functional analyses. We introduce ZSeekerDB, the first large-scale, multi-taxon database cataloging Z-nucleic acid sequences, across organisms representing all major branches of life. ZSeekerDB enables interactive searches, visualizations, and downloads of Z-nucleic acid sequence data for independent analysis. ZSeekerDB is implemented as a web-portal for browsing, analyzing and downloading Z-forming loci, publicly available at https://zseeker-db.com/.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The Neuroscience Multi-Omic Archive: A BRAIN Initiative resource for single-cell transcriptomic and epigenomic data from the mammalian brain 95%
- Unveiling the Microbial Realm with VEBA 2.0: A modular bioinformatics suite for end-to-end genome-resolved prokaryotic, (micro)eukaryotic, and viral multi-omics from either short- or long-read sequencing 94%
- Targeted genome mining with GATOR-GC maps the evolutionary landscape of biosynthetic diversity 94%
Similar papers in this journal
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.