Ontology highlight
ABSTRACT:
SUBMITTER: Yoo S
PROVIDER: S-EPMC4133046 | biostudies-literature | 2014 Aug
REPOSITORIES: biostudies-literature
Yoo Seungyeul S Huang Tao T Campbell Joshua D JD Lee Eunjee E Tu Zhidong Z Geraci Mark W MW Powell Charles A CA Schadt Eric E EE Spira Avrum A Zhu Jun J
PLoS computational biology 20140814 8
Errors in sample annotation or labeling often occur in large-scale genetic or genomic studies and are difficult to avoid completely during data generation and management. For integrative genomic studies, it is critical to identify and correct these errors. Different types of genetic and genomic data are inter-connected by cis-regulations. On that basis, we developed a computational approach, Multi-Omics Data Matcher (MODMatcher), to identify and correct sample labeling errors in multiple types o ...[more]