ANAgdb: a multi-omics and taxonomy database for ANA-grade
By integrating the comprehensive resources and tools, ANAgdb aims to significantly advance research in phylogenomics and taxonomic studies, providing a robust platform for researchers to explore the genetic and morphological diversities of these ancient plant lineages.
Authors
- Zhonglong Guo (ORCID: https://orcid.org/0000-0002-3879-8738)
- Jun-Rong Wei
- Qi Wang (ORCID: https://orcid.org/0000-0002-7827-4808)
- Yawen Bai (ORCID: https://orcid.org/0000-0003-3239-1109)
- Yong Yang (ORCID: https://orcid.org/0000-0001-7763-5133)
- Xiaozeng Yang (ORCID: https://orcid.org/0000-0002-8529-0371)
- Dong Wang (ORCID: https://orcid.org/0000-0001-9099-566X)
- Yifan Duan
- Shaoxuan Luo
- Yixiang Yang
Institutions
- Nanjing Forestry University (CN)
- Sinovac Biotech (CN)
- State Key Laboratory of Plant Genomics (CN)
- Institute of Botany (CN)
Publication Details
- Journal
- BMC Plant Biology
- Published
- 2024-09-28
- DOI
- https://doi.org/10.1186/s12870-024-05613-4
- Citations
- 2
- Primary Topic
- Machine Learning in Bioinformatics
- Type
- article
- Field-Weighted Citation Impact
- 0.47
Funders
- National Natural Science Foundation of China