HRA004640
Title:
Identification of a 10-species microbial signature of inflammatory bowel disease by machine learning modeling
Release date:
2023-06-11
Description:
A total of 181 fecal samples (107 were from individuals with inflammatory bowel disease (IBD), and 74 were from individuals without IBD) were collected from patients at Peking University Third Hospital (Beijing, China). Samples were collected from March 2021 to May 2023. For most participants suffered from gut disturbances, their IBD status was determined using endoscopy.
Data Accessibility:   
Controlled access Request Data
BioProject:
Study type:
Human metagenome
Data Access Committee

For each controlled access study, there is a corresponding Data Access Committee(DAC) to determine the access permissions. Access to actual data files is not managed by NGDC.


DAC NO.:
DAC name:
inflammatory bowel disease
Contact person:
LI Jun
Email:
yanwt2003@163.com
Description:
A total of 181 fecal samples (107 were from individuals with inflammatory bowel disease (IBD), and 74 were from individuals without IBD) were collected from patients at Peking University Third Hospital (Beijing, China). Samples were collected from March 2021 to May 2023. For most participants suffered from gut disturbances, their IBD status was determined using endoscopy.
Individuals & samples
Submitter:   LI Jun / yanwt2003@163.com
Organization:   Peking University Third Hospital
Submission date:   2023-05-22
Requests:   2