Accession PRJCA001248
Title Analysis of error profiles in deep next-generation sequencing data
Relevance Basic Research
Data types Targeted Locus (Loci)
Organisms Homo sapiens
Description In this study, we use current NGS technology to systematically investigate errors introduced at various steps of an NGS workflow, such as sample handling, library preparation, PCR enrichment, and sequencing.
Sample scope selected genomic loci
Release date 2019-02-03
Grants
Agency program Grant ID Grant title
N/A N/A N/A N/A
Submitter Yu    Liu  (liuyu@scmc.com.cn)
Organization Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine
Submission date 2019-01-25

Project Data

Resource name Description