MODMatcher: Multi-Omics Data Matcher for Integrative Genomic Analysis

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...

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Detalles Bibliográficos
Autores principales: Yoo, Seungyeul, Huang, Tao, Campbell, Joshua D., Lee, Eunjee, Tu, Zhidong, Geraci, Mark W., Powell, Charles A., Schadt, Eric E., Spira, Avrum, Zhu, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4133046/
https://www.ncbi.nlm.nih.gov/pubmed/25122495
http://dx.doi.org/10.1371/journal.pcbi.1003790

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4133046/
https://www.ncbi.nlm.nih.gov/pubmed/25122495
http://dx.doi.org/10.1371/journal.pcbi.1003790

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