项目编号 PRJCA007414
项目标题 Genome-resolved metagenomics using short-, long-reads and MetaHiC approches
涉及领域 Environmental
数据类型 Metagenome
Metagenomic assembly
物种名称 synthetic metagenome
human gut metagenome
描述信息 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.
样品范围 Environment
发布日期 2021-12-01
出版信息
PubMed ID 文章标题 杂志名称 Doi 发表年份
38233391 Effective binning of metagenomic contigs using contrastive multi-view representation learning Nature Communications 10.1038/s41467-023-44290-z 2024
40128535 Benchmarking metagenomic binning tools on real datasets across sequencing platforms and binning modes Nature Communications 10.1038/s41467-025-57957-6 2025
37387171 SemiBin2: self-supervised contrastive learning leads to better MAGs for short- and long-read sequencing Bioinformatics 10.1093/bioinformatics/btad209 2023
项目资金来源
机构 项目类型 授权项目ID 授权项目名称
National Natural Science Foundation of China (NSFC) 61932008
提交者 Longhao Jia (3230973338@qq.com)
提交单位 Fudan University
提交日期 2021-12-01

项目包含数据信息

资源名称 描述
BioSample (7)  show -
GSA (3) -
CRA005488 The CAMISIM simulated community
CRA005487 The GIS20 mock community
CRA005489 The human gut community