| Accession |
PRJCA008503 |
| Title |
Metagenomic Next-Generation Sequencing for the Diagnosis of Neonatal Infectious Diseases-123 |
| Relevance |
Medical |
| Data types |
Metagenome
|
| Organisms |
Streptococcus pneumoniae
|
| Description |
IMPORTANCE Infectious diseases pose fatal risk to neonates. Timely and accurate pathogen detection is crucial for proper clinical diagnosis and therapeutic strategies. However, limited sample volumes of neonatal patients seriously hindered the accurate detection of pathogens using conventional methods. |
| Sample scope |
Multispecies |
| Release date |
2022-04-02 |
| Publication |
| PubMed ID |
Article title |
Journal name |
DOI |
Year |
| 36409152
|
Metagenomic Next-Generation Sequencing for the Diagnosis of Neonatal Infectious Diseases
|
Microbiology Spectrum
|
10.1128/spectrum.01195-22
|
2022
|
|
|
| Grants |
| Agency |
program |
Grant ID |
Grant title |
| Beijing Municipal Science & Technology Commission
|
|
z211100002921063
|
|
|
|
| Submitter |
Ye
Zhang (zhangye@hugobiotech.com)
|
| Organization |
Hugobiotech Beijing Co.,Ltd. |
| Submission date |
2022-03-01 |
