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资源简介：
Improve PCR amplification for 16S rDNA and ITS1 region in low-biomass samples
应用场景：
创建时间：
2024-08-21
相关数据集
Influence of PCR cycle number on 16S rRNA amplicon sequencing of low biomass samples
16S rRNA library sequencing data generated from four separate milk samples, each collected from 24 individual quarters of healthy dairy cows, and amplified during library prep using 25, 30, 35, or 40
NIAID Data Ecosystem40
Influence of PCR cycle number on 16S rRNA amplicon sequencing of low biomass samples
16S rRNA library sequencing data generated from four separate milk samples, each collected from 24 individual quarters of healthy dairy cows, and amplified during library prep using 25, 30, 35, or 40
NIAID Data Ecosystem40
2bRAD-M simulated and sequenced datasets 2
2bRAD-M simulated and sequenced datasetstypical low biomass samples including: 16S and 2bRAD-M for underarm, car and home samples, and 16S and 2bRAD-M for fecal samples.
Figshare2021-01-03 更新20
2bRAD-M simulated and sequenced datasets 2
2bRAD-M simulated and sequenced datasetstypical low biomass samples including: 16S and 2bRAD-M for underarm, car and home samples, and 16S and 2bRAD-M for fecal samples.
NIAID Data Ecosystem40
Squeegee: de novo identification of reagent and laboratory induced microbial contaminants in low biomass microbiomes, simulation dataset 1% spike-in contaminant sequences
Computational analysis of host-associated microbiomes has opened the door to numerous discoveries relevant to human health and disease. However, contaminant sequences in metagenomic samples can potent
NIAID Data Ecosystem30
