iMeta (iMeta)

iMeta is an international, peer reviewed, open access journal dedicated to advancing research in microbiome science and multi-omics data analysis. The journal provides a platform for publishing high quality studies that integrate metagenomics, metatranscriptomics, metabolomics, and other omics approaches to better understand complex biological systems. It emphasizes innovative computational and statistical methods for analyzing large scale biological datasets. The journal covers a wide range of topics including microbial community structure and function, host microbe interactions, environmental microbiology, and systems level biological insights. It also promotes interdisciplinary collaboration by bridging biology, data science, and computational modeling. iMeta is particularly focused on studies that provide mechanistic understanding and reproducible analytical frameworks. As an open access journal, iMeta ensures that all published research is freely available to the global scientific community, supporting transparency and data sharing. Its rapid publication process allows timely dissemination of new findings in this fast evolving field. The journal aims to become a leading venue for microbiome and multi-omics research, supporting both methodological innovation and biological discovery.

iMeta (iMeta) is :-

• International, Peer-Reviewed, Open Access, Refereed, Microbiome research, Metagenomics and meta-transcriptomics, Bioinformatics and computational biology, Multi-omics data integration, Systems biology, Microbial ecology and evolution, metatranscriptomics, metabolomics, microbial community structure and function, host microbe interactions, environmental microbiology, systems level biological insights, It also promotes interdisciplinary collaboration by bridging biology, data science, computational modeling , Online or Print , Continuously Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 2770-5986, E-ISSN: 2770-596X, Established: 2022,
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE