Demonstration and development of key technologies for quality control of medical bioomics data2
| Title | Demonstration and development of key technologies for quality control of medical bioomics data2 |
|---|---|
| Description | This project was organized by a group of experts from Beijing Normal University, Sun Yat-sen University, Dalian Institute of Chemical Physics, Chinese Academy of Sciences,Jinan University has four interdisciplinary research teams in the front line of teaching and scientific research, with high-throughput sequencing equipment and high scores On the basis of discriminating proteomic analysis techniques, the key technical issues of proteomic data quality control are discussed The following measures should be taken: 1. Study and construct Chinese omics reference materials and reference data set; 2.Sample collection, processing,Systematical bench marking is carried out for the whole process of transportation, storage, testing, data generation, storage, quality assessment and analysis Standardization research and automatic monitoring research;3. Put the whole process omics data quality control standards and procedures in the basic medical department Scientific and clinical application and other technical methods. |
| Organism | Metazoa |
| Data Type | Proteomic |
| Data Accessibility | Open-access |
| BioProject | PRJCA005762 |
| Release Date | 2023-07-24 |
| Submitter | Youhe Gao (gaoyouhe@bnu.edu.cn) |
| Organization | Beijing Normal University |
| Submission Date | 2021-07-19 |
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| File ID | File Title | Number/Samples | File Type | File Size | File Suffix | Download Times | Download |
|---|---|---|---|---|---|---|---|
| OMIX487-10-01 | 2018YFC0910202_Study on the performance of CFAST for plasma sample processing (10 cases) | 10 | Proteomic | 16.12 GB | zip | 0 | |
| OMIX487-10-02 | 2018YFC0910202_Deep and comprehensive identification of urine proteome of healthy people (30 cases) | 30 | Proteomic | 57.57 GB | zip | 0 | |
| OMIX487-10-03 | 2018YFC0910202_A new technique for detecting extracellular vesicles (20 cases) | 20 | Proteomic | 44.06 GB | zip | 0 | |
| OMIX487-10-04 | 2018YFC0910202_Study on Differential Expression of Plasma Proteome between Diabetic Patients and Diabetic | 50 | Proteomic | 74.26 GB | zip | 0 | |
| OMIX487-10-05 | 2018YFC0910202_Study on IgA Nephropathy, Membrane Nephropathy and Urine Proteome of Normal People (50 Cases) | 50 | Proteomic | 50.01 GB | zip | 0 | |
| OMIX487-10-06 | 2018YFC0910202_Standard operating procedure for cell sample treatment and evaluation | 15 | Proteomic | 27.67 GB | zip | 0 | |
| OMIX487-10-07 | 2018YFC0910202_Study on early biomarkers of various diseases (340 cases) | 340 | Proteomic | 466.08 GB | zip | 0 |