Editorial: Vetinformatics: an insight for decoding livestock systems through in silico biology

Jun-Mo Kim; Rajesh Kumar Pathak

doi:10.3389/fvets.2023.1292733

Editorial: Vetinformatics: an insight for decoding livestock systems through in silico biology

Front Vet Sci. 2023 Oct 30:10:1292733. doi: 10.3389/fvets.2023.1292733. eCollection 2023.

Authors

Jun-Mo Kim¹, Rajesh Kumar Pathak¹

Affiliation

¹ Department of Animal Science and Technology, Chung-Ang University, Anseong-si, Republic of Korea.

No abstract available

Keywords: in silico analysis; molecular docking; molecular dynamics simulation; multiomics; network analysis; next-generation sequencing; vetinformatics.

Publication types

Editorial

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (NRF-2022R1A2C1005830).