| Title | Metagenomic Next-Generation Sequencing for the Diagnosis of Neonatal Infectious Diseases-123 |
|---|---|
| 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. |
| Organism | Streptococcus pneumoniae |
| Data Type | Mixed |
| Data Accessibility | Open-access |
| BioProject | PRJCA008503 |
| Release Date | 2022-04-02 |
| Submitter | Ye Zhang (zhangye@hugobiotech.com) |
| Organization | Hugobiotech Beijing Co.,Ltd. |
| Submission Date | 2022-03-01 |
HTTP download speed may be slow. It is highly recommended that you download the dataset using a dedicated FTP tool (such as FileZilla Client).
| File ID | File Title | Number/Samples | File Type | File Size | File Suffix | Download |
|---|---|---|---|---|---|---|
| OMIX977-99-02 | result_fa_file.zip | 1 | others | 8.5 MB | zip |
| Paper Title | Journal Name | Publish Time | Accession | Citing Type |
|---|---|---|---|---|
| Metagenomic Next-Generation Sequencing for the Diagnosis of Neonatal Infectious Diseases | Microbiology Spectrum | 2022-11 | OMIX977 OMIX898 | Deposit |