| Accession | PRJCA007414 | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Title | Genome-resolved metagenomics using short-, long-reads and MetaHiC approches | ||||||||
| Relevance | Environmental | ||||||||
| Data types |
Metagenome
Metagenomic assembly |
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| Organisms |
synthetic metagenome
human gut metagenome |
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| Description | In this study, we set out to find recommended strategies for recovering high-quality MAGs by assessing mainstream sequencing technologies (i.e., mNGS, TGS, and MetaHiC) and different downstream analysis tools. To ensure the robustness of our evaluation, we used the GIS20 mock community, CAMISIM simulated community and three stool samples from three healthy volunteers. | ||||||||
| Sample scope | Environment | ||||||||
| Release date | 2021-12-01 | ||||||||
| Grants |
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| Submitter | Longhao Jia (3230973338@qq.com) | ||||||||
| Organization | Fudan University | ||||||||
| Submission date | 2021-12-01 |