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资源简介：
Effect of sequencing coverage reduction on species identification in complex biological matrix
应用场景：
创建时间：
2018-10-16
相关数据集
Traditional Chinese Medicine Metagenome
Here we have designed a method, M-TCM, to biologically assess the quality of both prescribed and contaminated species from TCM preparations based on High-Throughput Sequencing (abbreviated as HTS) and
NIAID Data Ecosystem100
MetaGenomic Species (MGS:977) from Distal Human Gut Microbiota (MetaHit), Sample MH0143. Acetobacter sp. CAG:977
Metagenomic data acquired by deep sequencing is immensely complex, lacks apparent structure and is typically dominated by unknown species. Using an abundance co-variance strategy, we group highly co-v
NIAID Data Ecosystem60
MetaGenomic Species (MGS:27) from Distal Human Gut Microbiota (MetaHit), Sample V1.UC11-5. [Clostridium] leptum CAG:27 strain:MGS:27
Metagenomic data acquired by deep sequencing is immensely complex, lacks apparent structure and is typically dominated by unknown species. Using an abundance co-variance strategy, we group highly co-v
NIAID Data Ecosystem30
Species identified with minimum 50 reads.
Species identified with minimum 50 reads.
NIAID Data Ecosystem70
MetaGenomic Species (MGS:211) from Distal Human Gut Microbiota (MetaHit), Sample MH0055. Phocaeicola plebeius CAG:211
Metagenomic data acquired by deep sequencing is immensely complex, lacks apparent structure and is typically dominated by unknown species. Using an abundance co-variance strategy, we group highly co-v
NIAID Data Ecosystem30
