MiST 4.0: a new release of the microbial signal transduction database, now with a metagenomic component.

Autor:	Gumerov VM; Department of Microbiology and Translational Data Analytics Institute, The Ohio State University, Columbus, OH 43210, USA., Ulrich LE; Ulritech, LLC, Mount Pleasant, SC 29466, USA., Zhulin IB; Department of Microbiology and Translational Data Analytics Institute, The Ohio State University, Columbus, OH 43210, USA.
Jazyk:	angličtina
Zdroj:	Nucleic acids research [Nucleic Acids Res] 2024 Jan 05; Vol. 52 (D1), pp. D647-D653.
DOI:	10.1093/nar/gkad847
Abstrakt:	Signal transduction systems in bacteria and archaea link environmental stimuli to specific adaptive cellular responses. They control gene expression, motility, biofilm formation, development and other processes that are vital to survival. The microbial signal transduction (MiST) database is an online resource that stores tens of thousands of genomes and allows users to explore their signal transduction profiles, analyze genomes in bulk using the database application programming interface (API) and make testable hypotheses about the functions of newly identified signaling systems. However, signal transduction in metagenomes remained completely unexplored. To lay the foundation for research in metagenomic signal transduction, we have prepared a new release of the MiST database, MiST 4.0, which features over 10 000 metagenome-assembled genomes (MAGs), a scaled representation of proteins and detailed BioSample information. In addition, several thousands of new genomes have been processed and stored in the database. A new interface has been developed that allows users to seamlessly switch between genomes and MAGs. MiST 4.0 is freely available at https://mistdb.com; metagenomes and MAGs can also be explored using the API available on the same page. (© The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research.)
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu