| Accession | PRJCA007122 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Title | 2018YFC0910200-Standard Reference Data Set of Chinese Human Cell Transcriptome and Translation Group Sequencing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Relevance | Medical | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Data types |
Whole genome sequencing
Transcriptome or Gene expression Genome sequencing and assembly 翻译组RNC-seq |
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| Organisms |
Komagataella pastoris
Homo sapiens |
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| Description | In recent years, with the rapid development of bioomics research, including genomics, transcriptomics, translatomics and proteomics, and the cross application of biological information and big data science, a new medical concept and medical model, precision medicine, has been bred.Life omics research is one of the most important means to reveal disease mechanism and precision medicine. The data quality of omics is directly related to the accuracy of disease mechanism and the effectiveness of precision medicine. However, due to the diversity of sample processing methods, the diversity of determination platforms and the imprecision of analysis technology, the current omics data has poor repeatability and experimentality of cross platform and cross laboratory data.Therefore, by establishing the quality standard of personal genome assembly and testing the consistency of the standard sample MHCC97H, this subject has established a high-precision sequencing process of genome, transcriptome and translatomics ; At the same time, establish the whole process of protein mass spectrometry data acquisition, including standard operating procedures for qualitative and quantitative detection, and establish open search quality control standards, in order to control the data quality of each group in the whole process and in multiple directions. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Sample scope | Monoisolate | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Release date | 2022-12-16 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Publication |
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| Grants |
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| Submitter | Hong Lu (1926226931@qq.com) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Organization | Jinan University | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Submission date | 2021-11-05 |