Accession PRJCA008530
Title Toward efficient and high-fidelity metagenomic data from sub-nanogram DNA: evaluation of library preparation and contamination identification methods
Relevance Medical
Data types Metagenome
Raw sequence reads
Organisms synthetic construct
Bacteria
Description To obtain high-quality metagenomic libraries and high-fidelity data from sub-nanogram DNA, we evaluated the performance of various library preparation methods on 0.5 pg - 5 ng synthetic microbial community DNA, characterized contaminants and further applied different in silico decontamination methods.
Sample scope Synthetic
Release date 2022-09-23
Grants
Agency program Grant ID Grant title
Beijing Nova Program Z211100002121135
Submitter Li    Mingkun  (limk@big.ac.cn)
Organization Beijing Institute of Genomics, Chinese Academy of Sciences
Submission date 2022-03-03

Project Data

Resource name Description
BioSample (75)  show -
GSA (1) -
CRA006267 Toward efficient and high-fidelity metagenomic data from sub-nanogram DNA: evaluation of library preparation and contamination identification methods